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» On the Learnability of Vector Spaces
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JCP
2008
167views more  JCP 2008»
14 years 10 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
IJPP
1998
91views more  IJPP 1998»
14 years 9 months ago
Reuse-Driven Tiling for Improving Data Locality
This paper applies unimodular transformations and tiling to improve data locality of a loop nest. Due to data dependences and reuse information, not all dimensions of the iteration...
Jingling Xue, Chua-Huang Huang
TVCG
2002
104views more  TVCG 2002»
14 years 9 months ago
General Construction of Time-Domain Filters for Orientation Data
Capturing live motion has gained considerable attention in computer animation as an important motion generation technique. Canned motion data comprise both position and orientation...
Jehee Lee, Sung Yong Shin
IJRR
2010
173views more  IJRR 2010»
14 years 4 months ago
Multi-modal Semantic Place Classification
The ability to represent knowledge about space and its position therein is crucial for a mobile robot. To this end, topological and semantic descriptions are gaining popularity fo...
Andrzej Pronobis, Óscar Martínez Moz...
STACS
2007
Springer
15 years 4 months ago
New Approximation Algorithms for Minimum Cycle Bases of Graphs
We consider the problem of computing an approximate minimum cycle basis of an undirected non-negative edge-weighted graph G with m edges and n vertices; the extension to directed ...
Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Mich...