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» Using Information Extraction to Improve Document Retrieval
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ICCV
2011
IEEE
14 years 6 months ago
Informative Feature Selection for Object Recognition via Sparse PCA
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
Nikhil Naikal, Allen Y. Yang, S. Shankar Sastry
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
16 years 7 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
MM
2010
ACM
151views Multimedia» more  MM 2010»
15 years 7 months ago
Explicit and implicit concept-based video retrieval with bipartite graph propagation model
The major scientific problem for content-based video retrieval is the semantic gap. Generally speaking, there are two appropriate ways to bridge the semantic gap: the first one is...
Lei Bao, Juan Cao, Yongdong Zhang, Jintao Li, Ming...
TREC
2000
15 years 8 months ago
The LIMSI SDR System for TREC-9
In this paper we describe the LIMSI Spoken Document Retrieval system used in the TREC-9 evaluation. This system combines an adapted version of the LIMSI 1999 Hub-4E transcription ...
Jean-Luc Gauvain, Lori Lamel, Claude Barras, Gille...
ICPR
2006
IEEE
16 years 7 months ago
Ancient Initial Letters Indexing
Discrimination of images is necessary in many tasks, either understanding or indexing for example. Here we are concerned by indexing. More precisely we are working about initial l...
Nicole Vincent, Rudolf Pareti