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» Metric Indexing for the Vector Model in Text Retrieval
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IJCAI
2007
13 years 8 months ago
Computing Semantic Relatedness Using Wikipedia-based Explicit Semantic Analysis
Computing semantic relatedness of natural language texts requires access to vast amounts of common-sense and domain-specific world knowledge. We propose Explicit Semantic Analysi...
Evgeniy Gabrilovich, Shaul Markovitch
ALGORITHMICA
2000
161views more  ALGORITHMICA 2000»
13 years 6 months ago
Binary Searching with Nonuniform Costs and Its Application to Text Retrieval
We study the problem of minimizing the expected cost of binary searching for data where the access cost is not fixed and depends on the last accessed element, such as data stored i...
Gonzalo Navarro, Ricardo A. Baeza-Yates, Eduardo F...
TREC
2007
13 years 8 months ago
Parsimonious Language Models for a Terabyte of Text
: The aims of this paper are twofold. Our first aim is to compare results of the earlier Terabyte tracks to the Million Query track. We submitted a number of runs using different ...
Djoerd Hiemstra, Rongmei Li, Jaap Kamps, Rianne Ka...
ICCV
1998
IEEE
13 years 11 months ago
Condensing Image Databases when Retrieval is Based on Non-Metric Distances
One of the key problems in appearance-based vision is understanding how to use a set of labeled images to classify new images. Classification systems that can model human performa...
David W. Jacobs, Daphna Weinshall, Yoram Gdalyahu
HICSS
2007
IEEE
137views Biometrics» more  HICSS 2007»
14 years 1 months ago
Essential Dimensions of Latent Semantic Indexing (LSI)
Latent Semantic Indexing (LSI) is commonly used to match queries to documents in information retrieval applications. LSI has been shown to improve retrieval performance for some, ...
April Kontostathis