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» Evaluating Feature Selection for SVMs in High Dimensions
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92
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ICRA
1998
IEEE
91views Robotics» more  ICRA 1998»
15 years 4 months ago
Selecting Targets for Local Reference Frames
This paper addresses the problem of seeking out parts of the environment that provide adequate features in order to perform robot localization. The objective is to choose good regi...
Saul Simhon, Gregory Dudek
106
Voted
SIGIR
2002
ACM
15 years 2 days ago
Document clustering with cluster refinement and model selection capabilities
In this paper, we propose a document clustering method that strives to achieve: (1) a high accuracy of document clustering, and (2) the capability of estimating the number of clus...
Xin Liu, Yihong Gong, Wei Xu, Shenghuo Zhu
104
Voted
ISBI
2007
IEEE
15 years 6 months ago
Feature Curve-Guided Volume Reconstruction from 2d Images
In this paper, we propose a new paradigm to reconstruct 3D volume from histology slices guided by NURBS spline-based feature curves. Histology slices are first scanned into compu...
Yunhao Tan, Jing Hua, Ming Dong
105
Voted
CVPR
2006
IEEE
16 years 2 months ago
Shape Topics: A Compact Representation and New Algorithms for 3D Partial Shape Retrieval
This paper develops an efficient new method for 3D partial shape retrieval. First, a Monte Carlo sampling strategy is employed to extract local shape signatures from each 3D model...
Yi Liu, Hongbin Zha, Hong Qin
ICMCS
2007
IEEE
161views Multimedia» more  ICMCS 2007»
15 years 6 months ago
Genre-Adaptive Near-Duplicate Video Segment Detection
This paper proposes a fast and accurate method to detect all nearduplicate segments in a video stream. To reduce the computation time while ensuring the detection accuracy equival...
Ichiro Ide, Kazuhiro Noda, Tomokazu Takahashi, Hir...