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[PDF] Top 20 A Comparison of User Strategies in Image Retrieval with Relevance Feedback

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A Comparison of User Strategies in Image Retrieval with Relevance Feedback

A Comparison of User Strategies in Image Retrieval with Relevance Feedback

... difficulty of setting up large-scale experiments with real users, the comparison of content-based image retrieval methods using relevance feedback usually relies on ... Voir le document complet

10

An exploration of diversified user strategies for image retrieval with relevance feedback

An exploration of diversified user strategies for image retrieval with relevance feedback

... difficulty of setting up large-scale experiments with real users, the com- parison of content-based image retrieval methods using relevance feedback usually relies on the ... Voir le document complet

18

Speeding up active relevance feedback with approximate kNN retrieval for hyperplane queries

Speeding up active relevance feedback with approximate kNN retrieval for hyperplane queries

... every feedback round the selector must return s = 9 images that the emulated user should mark as “relevant” or ...vant” image (belonging to the target class) and s − 1 randomly selected “irrelevant” ... Voir le document complet

14

Graph laplacian for interactive image retrieval

Graph laplacian for interactive image retrieval

... success of relevance feedback is largely dependent on how much (1) the image description (feature+similarity) fits (2) the semantic wanted by the ...reduction of this gap basically ... Voir le document complet

5

Secure content based image retrieval in medical databases

Secure content based image retrieval in medical databases

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet

3

A Cognitive Agent Framework in Information Retrieval : Using User Beliefs to Customize Results

A Cognitive Agent Framework in Information Retrieval : Using User Beliefs to Customize Results

... presents a framework for a cognitive agent in in- formation retrieval that customizes the list of returned documents based on what the agent believes about the user ...the ... Voir le document complet

9

Reducing the Redundancy in the Selection of Samples for SVM-based Relevance Feedback

Reducing the Redundancy in the Selection of Samples for SVM-based Relevance Feedback

... Unité de recherche INRIA Rocquencourt Domaine de Voluceau - Rocquencourt - BP 105 - 78153 Le Chesnay Cedex France Unité de recherche INRIA Lorraine : LORIA, Technopôle de Nancy-Brabois -[r] ... Voir le document complet

24

User-Driven System-Mediated Collaborative Information Retrieval

User-Driven System-Mediated Collaborative Information Retrieval

... proposed in the ...analysis of the topology proper- ties of users’ network through information interaction [18, 12, 19, ...presented a block- structure mining method based on pair-wise graph ... Voir le document complet

12

User-Driven System-Mediated Collaborative Information Retrieval

User-Driven System-Mediated Collaborative Information Retrieval

... proposed in the ...analysis of the topology proper- ties of users’ network through information interaction [18, 12, 19, ...presented a block- structure mining method based on pair-wise graph ... Voir le document complet

11

A comparison of methods for non-rigid 3D shape retrieval

A comparison of methods for non-rigid 3D shape retrieval

... divergence with respect to the underlying domain or Riemannian manifold in ...spectrum of a given shape can be approximated very efficiently even if the shape exhibits not-flat ... Voir le document complet

36

A Fuzzy-Ontology Based Information Retrieval System for Relevant Feedback

A Fuzzy-Ontology Based Information Retrieval System for Relevant Feedback

... similarity of the contexts where a word appears, using the local document information and the global lexical co- occurrence information derived from the entire set of documents to be ...synonyms ... Voir le document complet

9

A machine learning approach for image retrieval tasks

A machine learning approach for image retrieval tasks

... bag of visual words , bag of visual phrases , supervised classification , descriptors, Image retrieval ...Based Image retrieval (CBIR) has made the recent years of big ... Voir le document complet

6

Local Convolutional Features with Unsupervised Training for Image Retrieval

Local Convolutional Features with Unsupervised Training for Image Retrieval

... for image retrieval and deep learning for patch ...variety of stan- dard patch descriptors, SIFT [ 26 ] is the most widely ...as a convolutional net, SIFT is a two-layer ar- chitecture, ... Voir le document complet

10

The Image Shape Spectrum for Image Retrieval

The Image Shape Spectrum for Image Retrieval

... Unit´e de recherche INRIA Lorraine, Technopˆole de Nancy-Brabois, Campus scientifique, ` NANCY 615 rue du Jardin Botanique, BP 101, 54600 VILLERS LES Unit´e de recherche INRIA Rennes, Ir[r] ... Voir le document complet

26

An analysis of the developer-user feedback loop in "The Edge"

An analysis of the developer-user feedback loop in "The Edge"

... The actual data collected by the Edge client is defined to help the server perform the analysis to predict user behavior and give insight to developers on how t[r] ... Voir le document complet

54

Continuous execution : improving user feedback in the development cycle

Continuous execution : improving user feedback in the development cycle

... To do this, continuous execution outputs the result of executing all the code up to but not including the cursor line as the user edits.. In Figure 1.3, we see a script execute[r] ... Voir le document complet

49

User in the Loop: Adaptive Smart Homes Exploiting User Feedback—State of the Art and Future Directions

User in the Loop: Adaptive Smart Homes Exploiting User Feedback—State of the Art and Future Directions

... application of Smart Home technologies, in addition to their use in health or safety applications, is the comfort ...comfort with a pyramid and three different levels to measure/improve ... Voir le document complet

19

Approximate Capacity of the Two-User Gaussian Interference Channel with Noisy Channel-Output Feedback

Approximate Capacity of the Two-User Gaussian Interference Channel with Noisy Channel-Output Feedback

... using a random coding argument and combining three classi- cal tools: rate splitting, superposition coding, and backward ...described in Appendix A and it is specially designed for the ... Voir le document complet

42

Content-based Image  Retrieval by Indexing  Random Subwindows with Randomized Trees

Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees

... exists a number of indexing techniques based on recursive ...use of an ensemble of trees instead of a single one and the random selection of tests in place ... Voir le document complet

10

Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees

Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees

... ensemble of trees (2.3), and its practical use for image retrieval ...Extraction of Random Subwindows Occlusions, cluttered backgrounds, and viewpoint or orientation changes that occur ... Voir le document complet

12

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