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Single-shot multi-category clothing recognition and retrieval play a crucial role in online searching and offline settlement scenarios. Existing clothing recognition methods based on RGBD clothing images often suffer from high-dimensional feature representations, leading to compromised performance and efficiency.

To address this issue, this paper proposes a novel method called Manifold Embedded Discriminative Feature Selection (MEDFS) to select global and local features, thereby reducing the dimensionality of the feature representation and improving performance. Specifically, by combining three global features and three local features, a low-dimensional embedding is constructed to capture the correlations between features and categories. The MEDFS method designs an optimization framework utilizing manifold mapping and sparse regularization to achieve feature selection. The optimization objective is solved using an alternating iterative strategy, ensuring convergence.

Empirical studies conducted on a publicly available RGBD clothing image dataset demonstrate that the proposed MEDFS method achieves highly competitive clothing classification performance while maintaining efficiency in clothing recognition and retrieval.

This paper introduces a novel approach for multi-category clothing recognition and retrieval, incorporating the selection of global and local features. The proposed method holds potential for practical applications in real-world clothing scenarios.

People in all cultures of the world classify other people most readily in easily identifiable categories. Examples of such categories are race, gender, economic, and physical difference. These categories make the world intelligible because they assign roles and functions attached to the individuals that fill the category. Racial, gender, and other categories that reflect difference may change over time as to the meaning and assigned roles and functions, but the very fact of them being a criterion for classification remains rather unchallenged. Yet the very fact of classification may question whether individuals with disabilities belong to the most essential of all categories, the human category. With classification, a statement of exclusion or inclusion in the human category is imminent.

Organizational scholars increasingly appreciate the role of categories as bases of order or “cognitive infrastructures” in markets. Yet they construe categories as disciplinary devices. They understand category formation, implementation, and revision as the purview of professionals. And they tie those processes to notions of institutional development that sharply distinguish settled from unsettled or disordered eras. We challenge these conceptions through a historical study of how manufacturers, associations, and cost accountants broke from the disciplinary functions of accounting categories underlying mass production to create new categorical schemes devoted to learning, innovation, and improvement. Reformers reconfigured the uses of categories in markets, mobilizing classifications to spark reflection, experimentation, and improvement among firms by perturbing taken-for-granted assumptions. They also redesigned the practices of producing, implementing, and revising categories. Manufacturers themselves produced and routinely revised classifications through collective deliberation, while accountants served as their consultants, rather than autonomous authorities who monopolized category formation and implementation. In so doing, reformers forged foundations for upgrading markets and fostering competition based on innovation and improvement in a variety of industries. Based on these findings, we extend existing research beyond categorical imperatives to highlight how categories also serve as cognitive infrastructures for learning, discovery, and innovation in markets.

Projects have high stakes in how they are categorized. The final place of a project within a classification scheme depends on the inclusion or exclusion of certain classification criteria. So far, many researchers and organizations have used a variety classification criteria to construct different project classification schemes. However, most of these classification criteria have been taken for granted and the process of selecting them to categorize projects still remains a black box. The purpose of this paper is to open the black box of classification process and explain how it is reflected in picking the classification criteria.

Drawing on insights from cognitive psychology’s literature, the authors examine the main views of classification process to provide insight into the unknown or implicit reasons that one might have to pick particular attributes as project classification criteria.

The authors argue that classification occurs in the eye of the beholder; it is not only the project’s features per se but also the classifier’s “goals, ideal and preference” or “knowledge of causal relations” that are reflected in the classification criteria.

By elaborating the classification process, the authors brought the project context into the big picture of classification and provide a more rational, and coherent picture of how project classification works. This contributes to a theoretical blind spot, raised by prior researchers, related to the selection of project classification criteria.

Understanding classification processes will reduce the ambiguities, inconsistencies and multiple interpretations of project categories and help practitioners increase their projects’ visibility and legitimacy within an already established classification scheme. These implications help organizations in addressing some of the main obstacles to using categorization in project management practice.

The review of prior work in the category research literature and the insights from this paper will provide project management scholars with a useful toolbox for future research on project classification, which has long been understudied.

This paper aims to discuss how collaborative classification works in online music information retrieval systems and its impacts on the construction, fixation and orientation of the social uses of popular music on the internet.

Using a comparative method, the paper examines the logic behind music classification in Recommender Systems by studying the case of Last.fm, one of the most popular web sites of this type on the web. Data collected about users' ritual classifications are compared with the classification used by the music industry, represented by the AllMusic web site.

The paper identifies the differences between the criteria used for the collaborative classification of popular music, which is defined by users, and the traditional standards of commercial classification, used by the cultural industries, and discusses why commercial and non‐commercial classification methods vary.

Collaborative ritual classification reveals a shift in the demand for cultural information that may affect the way in which this demand is organized, as well as the classification criteria for works on the digital music market.

Collective creation of a music classification in recommender systems represents a new model of cultural mediation that might change the way of building new uses, tastes and patterns of musical consumption in online environments.

The paper highlights the way in which the classification process might influence the behavior of the users of music information retrieval systems, and vice versa.

The purpose of this paper is to analyze and evaluate bidding competitiveness and success rate of contractors bidding for public construction projects (PCPs). Additionally, this research determines the effect of work sector, contractor’s classification category (experience), project size and number of bidders on contractors’ bidding competitiveness, and the influence of work sector and classification category on their success rate.

The data were collected through 2,296 bidding attempts for 289 tender projects that were announced by the Government Tenders Department in Jordan between 2013 and 2016. The research uses bid competitiveness percentage (BCP) to evaluate contractors’ bidding competitiveness. Pearson correlation is used to investigate the correlation among variables. Hypothesis testing using ANOVA was conducted to evaluate the effect of the abovementioned factors on contractors’ bidding competitiveness, and their success rate.

The results of the analysis indicate that contractors’ average BCP and success rate in Jordanian PCPs are 83.8% and 13.3%, respectively. The analysis also reveals that work sector, contractor’s classification category, project size and number of bidders significantly affect contractors’ bidding competitiveness, whereas classification category and work sector do not affect bidding success rate. Therefore, experience of contractors affects their bidding competitiveness, but does not affect their success rate.

The present research uses contractors’ bidding success rate as a measure to evaluate their bidding competitiveness for PCPs. The novel model of this research can be applied in any country, after considering local regulations, to measure and evaluate contractors’ bidding competitiveness, and success rate when bidding for PCPs. Also, contractors cannot depend on their experience (i.e. classification category) or increasing bidding attempts to win bids and improve bidding success rate, rather than enhance their bidding strategy.

This chapter reviews the historical tension between global and local interests in library classifications. More specifically, this chapter presents the concept and characteristics of the reader-interest classifications as they were reported in the literature of the past century, including its alleged advantages and detected shortcomings, in order to discuss their presence and consequences in current cases of reader-interest classifications such as BISAC. Following an implicit post-structuralist approach, issues such as the role of standardization and centralization in these projects, the focus and philosophy underlying the construction of these classifications, and the underlying global interests of the book industry are analyzed in order to determine the social consequences and viability of these local classifications. It is concluded that libraries that consider adopting a reader-interesting classification must really think of the interest of the users (in plural) and not only of the global book industry that dominates the development of the standards.

Producers and consumers – who represent opposing sides of the market – have different frames of reference, which may result in differences in classification of the same products. The authors aim to demonstrate that “classification gaps” have a negative effect on the performance of products and that these effects play a role in different stages of consumers’ decision process.

The data collection consisted of three comprehensive parts covering production and consumption in the music festival market in The Netherlands. The first part focused on festival organizers who were asked to classify their own music festival in terms of musical genres. In total, 70 festival organizers agreed to participate. The second part measured the genre classification of 540 consumers. In the third part, the authors interviewed 1,554 potential visitors of music festivals in The Netherlands about their awareness of the festival and if they considered visiting or actually visited the festival.

This paper provides empirical evidence that a classification gap between the production side and the consumption side of the market has negative effects on music festival performance. In addition, the authors found that this is in part because of lower activation of potential consumers in the marketplace.

An important practical implication of this study is that – in general – producers should be aware that classification gaps can occur – even if they are sure about the classification of their products – and that this can have serious consequences. The category membership of products is often seen as a given, whereas it cannot be assumed that the classification perceived by different economic groups is the same – as demonstrated in this paper.

This paper demonstrates that a fundamental – but understudied – disconnect between the two opposing sides of the market (i.e. producers and consumers) regarding the classification of the same products can have negative effects on performance of these products.

This paper takes a social shaping of technology approach to identify and explain sources of conflict in the design or enhancement of corporate Web sites. Data from a multi‐case field study show how Web site classification schemes embedded in Web site design elements created intra‐organizational conflicts because the schemes could not equally accommodate different sub‐units' customer requirements. Interview data demonstrate Web managers' perceptions that Web classification schemes privileged certain sets of customer needs, and Web managers' actions to shape the design of classification schemes to satisfy their perceived customer needs. Data analysis identified three design elements of Web sites associated with sub‐unit conflict: classification categories, templates and tool bars, and database entities and attributes.

The purpose of this study is twofold. On the one hand, it studies the impact of IFRS 9 adoption on the firm value; and on the other hand, it investigates the impact of the classification of financial assets on the firm value.

The study covers a sample of 55 listed banks in the Middle Eastern and North African (MENA) region. Data is collected for three years (2017–2019).

The findings show that banks’ value is not impacted by IFRS 9 adoption but by financial assets’ classification. Firm value is positively affected by fair value through other comprehensive income assets, while it is negatively affected by amortized cost and fair value through profit or loss assets. The results of the additional analysis show consistent outcomes.

This research reveals important managerial implications. Priority should be given to the financial assets’ classification strategy following the adoption of IFRS 9 to boost the market valuation of banks. It may be useful for investors, managers and regulators in their decision-making.

This study enriches previous research as IFRS 9 is a new standard, and its adoption consequences need to be investigated. A few recent studies have focused on IFRS 9 as a whole or on other parts of IFRS 9, namely, the impairment regime and hedge accounting and concern developed contexts. However, this research adds to the knowledge of capital market studies by investigating the application of IFRS 9 in terms of classification in the MENA region.