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» On the Learnability of Vector Spaces
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IIR
2010
14 years 11 months ago
Semantic Vectors: an Information Retrieval Scenario
In this paper we exploit Semantic Vectors to develop an IR system. The idea is to use semantic spaces built on terms and documents to overcome the problem of word ambiguity. Word ...
Pierpaolo Basile, Annalina Caputo, Giovanni Semera...
CORR
2010
Springer
67views Education» more  CORR 2010»
14 years 9 months ago
Transfer Entropy on Rank Vectors
A number of measures have been proposed for the direction of the coupling between two time series, and transfer entropy (TE) has been found in recent studies to perform consistentl...
Dimitris Kugiumtzis
JMLR
2006
150views more  JMLR 2006»
14 years 9 months ago
Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization
Support vector machines utilizing the 1-norm, typically set up as linear programs (Mangasarian, 2000; Bradley and Mangasarian, 1998), are formulated here as a completely unconstra...
Olvi L. Mangasarian
ECCV
2006
Springer
15 years 11 months ago
Multivariate Relevance Vector Machines for Tracking
This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mappi...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...
ASPDAC
2006
ACM
144views Hardware» more  ASPDAC 2006»
15 years 3 months ago
Compaction of pass/fail-based diagnostic test vectors for combinational and sequential circuits
Abstract— Substantial attention is being paid to the fault diagnosis problem in recent test literature. Yet, the compaction of test vectors for fault diagnosis is little explored...
Yoshinobu Higami, Kewal K. Saluja, Hiroshi Takahas...