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PAMI
2007
154views more  PAMI 2007»
13 years 7 months ago
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
—Over the past few decades, a large family of algorithms—supervised or unsupervised; stemming from statistics or geometry theory—has been designed to provide different soluti...
Shuicheng Yan, Dong Xu, Benyu Zhang, HongJiang Zha...
PRL
2007
108views more  PRL 2007»
13 years 7 months ago
Towards a measure of deformability of shape sequences
In this paper we develop a theory for characterizing how deformable a shape is given a sequence of its observations. We define a term called ‘‘deformability index’’ (DI) ...
Amit K. Roy Chowdhury
IJHPCA
2010
84views more  IJHPCA 2010»
13 years 6 months ago
Operation Stacking for Ensemble Computations With Variable Convergence
Sparse matrix operations achieve only small fractions of peak CPU speeds because of the use of specialized, indexbased matrix representations, which degrade cache utilization by i...
Mehmet Belgin, Godmar Back, Calvin J. Ribbens
ML
2008
ACM
110views Machine Learning» more  ML 2008»
13 years 6 months ago
A theory of learning with similarity functions
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Maria-Florina Balcan, Avrim Blum, Nathan Srebro
INFOCOM
2010
IEEE
13 years 6 months ago
Enhancing Wireless TCP: A Serialized-Timer Approach
— In wireless networks, TCP performs unsatisfactorily since packet reordering and random losses may be falsely interpreted as congestive losses. This causes TCP to trigger fast r...
Chengdi Lai, Ka-Cheong Leung, Victor O. K. Li