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» An Efficient Algorithm for Local Distance Metric Learning
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CG
2002
Springer
14 years 9 months ago
Surface simplification using a discrete curvature norm
This paper proposes a mesh simplification algorithm using a discrete curvature norm. Most of the simplification algorithms are using a distance metric to date. The distance metric...
Sun-Jeong Kim, Chang-Hun Kim, David Levin
75
Voted
CVPR
2007
IEEE
15 years 4 months ago
Conformal Embedding Analysis with Local Graph Modeling on the Unit Hypersphere
We present the Conformal Embedding Analysis (CEA) for feature extraction and dimensionality reduction. Incorporating both conformal mapping and discriminating analysis, CEA projec...
Yun Fu, Ming Liu, Thomas S. Huang
88
Voted
ICML
2007
IEEE
15 years 10 months ago
Neighbor search with global geometry: a minimax message passing algorithm
Neighbor search is a fundamental task in machine learning, especially in classification and retrieval. Efficient nearest neighbor search methods have been widely studied, with the...
Kye-Hyeon Kim, Seungjin Choi
CVPR
2010
IEEE
15 years 2 months ago
The Automatic Design of Feature Spaces for Local Image Descriptors using an Ensemble of Non-linear Feature Extractors
The design of feature spaces for local image descriptors is an important research subject in computer vision due to its applicability in several problems, such as visual classifi...
Gustavo Carneiro
DSN
2007
IEEE
15 years 1 months ago
Determining Fault Tolerance of XOR-Based Erasure Codes Efficiently
We propose a new fault tolerance metric for XOR-based erasure codes: the minimal erasures list (MEL). A minimal erasure is a set of erasures that leads to irrecoverable data loss ...
Jay J. Wylie, Ram Swaminathan