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138
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ICPR
2008
IEEE
16 years 4 months ago
Kernel oriented discriminant analysis for speaker-independent phoneme spaces
Speaker independent feature extraction is a critical problem in speech recognition. Oriented principal component analysis (OPCA) is a potential solution that can find a subspace r...
Heeyoul Choi, Ricardo Gutierrez-Osuna, Seungjin Ch...
131
Voted
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
15 years 9 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
160
Voted
SIGMOD
2000
ACM
165views Database» more  SIGMOD 2000»
15 years 7 months ago
Finding Generalized Projected Clusters In High Dimensional Spaces
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
Charu C. Aggarwal, Philip S. Yu
TCS
2008
15 years 3 months ago
Swept regions and surfaces: Modeling and volumetric properties
We consider "swept regions" and "swept hypersurfaces"B in Rn+1 (and especially R3) which are a disjoint union of subspaces t = t or Bt = Bt obtained from a va...
James N. Damon
CVPR
1998
IEEE
16 years 5 months ago
Probabilistic Reasoning Models for Face Recognition
We introduce in this paper two probabilistic reasoning models (PRM-1 and PRM-2) which combine the Principal Component Analysis (PCA) technique and the Bayes classifier and show th...
Chengjun Liu, Harry Wechsler