Sciweavers

1542 search results - page 249 / 309
» Kernelization of packing problems
Sort
View
195
Voted
PAMI
2012
13 years 4 months ago
A Least-Squares Framework for Component Analysis
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
Fernando De la Torre
161
Voted
SMA
2009
ACM
185views Solid Modeling» more  SMA 2009»
15 years 9 months ago
A dynamic data structure for flexible molecular maintenance and informatics
We present the “Dynamic Packing Grid” (DPG) data structure along with details of our implementation and performance results, for maintaining and manipulating flexible molecul...
Chandrajit L. Bajaj, Rezaul Alam Chowdhury, Muhibu...
CVPR
2004
IEEE
16 years 4 months ago
Scale Selection for Anisotropic Scale-Space: Application to Volumetric Tumor Characterization
A unified approach for treating the scale selection problem in the anisotropic scale-space is proposed. The anisotropic scale-space is a generalization of the classical isotropic ...
Kazunori Okada, Dorin Comaniciu, Arun Krishnan
176
Voted
CVPR
2005
IEEE
16 years 4 months ago
Local Discriminant Embedding and Its Variants
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...
Hwann-Tzong Chen, Huang-Wei Chang, Tyng-Luh Liu
CVPR
2007
IEEE
16 years 4 months ago
Feature Extraction by Maximizing the Average Neighborhood Margin
A novel algorithm called Average Neighborhood Margin Maximization (ANMM) is proposed for supervised linear feature extraction. For each data point, ANMM aims at pulling the neighb...
Fei Wang, Changshui Zhang