[PDF] Top 20 Learning representations for Information Retrieval
Has 10000 "Learning representations for Information Retrieval" found on our website. Below are the top 20 most common "Learning representations for Information Retrieval".
Learning representations for Information Retrieval
... Summary Information retrieval is generally concerned with answering questions such as: is this document relevant to this query? How similar are two queries or two doc- uments? How query and document ... Voir le document complet
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Machine learning techniques for content-based information retrieval
... Machine Learning Techniques for Content-based Information Retrieval Thèse de doctorat de l'Université Paris-Saclay et de l'Université Hassan II de Casablanca préparée à Telecom SudParis / ... Voir le document complet
166
Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach
... descriptors for image patches and Thoth team, Inria Grenoble Rhone-Alpes, Laboratoire Jean Kuntzmann, CNRS, ...supervision for training such networks, ranging from fully supervised to ...data for ... Voir le document complet
22
End-to-End Adaptive Framework for Multimedia Information Retrieval
... multimedia information produced by different services along a conference life ...framework for multimedia information retrieval based on the ontological model HELO and a layered approach ... Voir le document complet
11
Regret Bounds for Learning State Representations in Reinforcement Learning
... bound for our algorithm and how S Σ in the bounds can be replaced by the effective size of the state space, which in some cases (like for hierarchical models) can be considerably ...as for UCRL2, by ... Voir le document complet
12
Multi Word Term Queries for Focused Information Retrieval.
... queries for focused Information Retrieval ...focused retrieval tasks based on comprehensible language models and interactive query expansion ...query representations: bag-of-words, ... Voir le document complet
13
Learning structured neural representations for visual reasoning tasks
... supervised learning from ground-truth segmenta- tions have produced high-quality instance segmentations of real-world images 13 .... For example, approaches based on R-CNN [Girshick et ...as learning ... Voir le document complet
248
Enhancing Ontology Matching by Using Machine Learning, Graph Matching and Information Retrieval Techniques
... structural information of entities of ontologies to nd ...structural information here is the re- lationship between entities such as sub-classes, domain, range, restriction property, ...external ... Voir le document complet
199
Distributional Thesauri for Information Retrieval and vice versa
... co-occurrence information or contexts on the web (Turney, 2001; Bollegala et ...vector representations of the contexts are also often used in different ways (Turney and Pantel, 2010), but without the usual ... Voir le document complet
9
DOLPHIn - Dictionary Learning for Phase Retrieval
... prior information about the signal (such as knowledge of the support set) and often converge to erroneous ...phase retrieval techniques were de- veloped for recovering sparse signals, which are ... Voir le document complet
17
Learning compact representations for large scale image search
... vector representations are at the core of all content- based visual search ...image retrieval systems where a query image is used to scan a database for images that are similar to the query in some ... Voir le document complet
111
On Probability Distributions for Trees: Representations, Inference and Learning
... design learning algorithms for the whole class of probability distributions defined by rational tree ...that learning algorithms for rational tree se- ries correspond to learning ... Voir le document complet
4
A subpath kernel for learning hierarchical image representations
... used for experimental ...additional information, exploiting it in the proposed subpath kernel does not degrade the ...fanouts for each node) for each class, see ... Voir le document complet
11
Learning to Choose : automatic Selection of the Information Retrieval Parameters
... the learning can be to associate query characteristics to systems. For example it is possible to represent queries by features, learn which system is best for each training query or query ...which ... Voir le document complet
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Learning to Choose : automatic Selection of the Information Retrieval Parameters
... clusters for all 10 ...optimal for the Learning to chose ...done for both the metasystem and the ...on for ”medium easy” level, ”easy” level and finally the ”easiest” level on which ... Voir le document complet
15
Learning Disentangled Representations via Mutual Information Estimation
... image retrieval experiments using the learned ...occurs for the 3D Shapes ...image retrieval examples using the shared and exclusive represen- tations are shown in Figure 4 ...image retrieval ... Voir le document complet
10
Browsing Information Retrieval System Results
... scores, for each of the treated queries, using a given system configuration. For evaluation purposes, a run is treated by the trec_eval tool using the query relevance judgement or ...values for each ... Voir le document complet
9
A machine learning approach for image retrieval tasks
... matrix for each image which most elements are zero. Most solutions for sparse matrix do not keep the size of all images in database and the new size depends on the values that different to ...Also, ... Voir le document complet
6
Concept oriented biomedical information retrieval
... health information and are widely believed to be useful for biomedical information ...the retrieval performance, while in some others degradations are ...medical information re- trieval ... Voir le document complet
115
ON USING GRAPHICAL MODELS FOR SUPPORTING CONTEXT AWARE INFORMATION RETRIEVAL
... erences. For this aim, the user preferences are first expressed using concepts represented by ...term). For each variable, the user should specify all of its preferential depen- dencies from which a CP-Net ... Voir le document complet
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