Sciweavers

1516 search results - page 82 / 304
» On the Learnability of Vector Spaces
Sort
View
SMC
2010
IEEE
202views Control Systems» more  SMC 2010»
14 years 8 months ago
Evaluating the performance of nonnegative matrix factorization for constructing semantic spaces: Comparison to latent semantic a
—This study examines the ability of nonnegative matrix factorization (NMF) as a method for constructing semantic spaces, in which the meaning of each word is represented by a hig...
Akira Utsumi
VLDB
1997
ACM
170views Database» more  VLDB 1997»
15 years 1 months ago
M-tree: An Efficient Access Method for Similarity Search in Metric Spaces
A new access method, called M-tree, is proposed to organize and search large data sets from a generic "metric space", i.e. where object proximity is only defined by a di...
Paolo Ciaccia, Marco Patella, Pavel Zezula
CBMS
2009
IEEE
15 years 1 months ago
A medical image retrieval framework in correlation enhanced visual concept feature space
This paper presents a medical image retrieval framework that uses visual concepts in a feature space employing statistical models built using a probabilistic multi-class support v...
Md. Mahmudur Rahman, Sameer Antani, George R. Thom...
CVPR
2009
IEEE
16 years 5 months ago
Stereo Matching with Nonparametric Smoothness Priors in Feature Space
We propose a novel formulation of stereo matching that considers each pixel as a feature vector. Under this view, matching two or more images can be cast as matching point clouds i...
Brandon M. Smith, Hailin Jin, Li Zhang
ICML
2008
IEEE
15 years 10 months ago
A reproducing kernel Hilbert space framework for pairwise time series distances
A good distance measure for time series needs to properly incorporate the temporal structure, and should be applicable to sequences with unequal lengths. In this paper, we propose...
Zhengdong Lu, Todd K. Leen, Yonghong Huang, Deniz ...