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» A Support Vector Clustering Method
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ACL
2006
15 years 5 months ago
Semantic Parsing with Structured SVM Ensemble Classification Models
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
Minh Le Nguyen, Akira Shimazu, Xuan Hieu Phan
149
Voted
ICCV
2011
IEEE
14 years 3 months ago
Viewpoint-Aware Object Detection and Pose Estimation
We describe an approach to category-level detection and viewpoint estimation for rigid 3D objects from single 2D images. In contrast to many existing methods, we directly integrat...
Daniel Glasner, Meirav Galun, Sharon Alpert, Ronen...
152
Voted
ASPLOS
1996
ACM
15 years 8 months ago
Shasta: A Low Overhead, Software-Only Approach for Supporting Fine-Grain Shared Memory
This paper describes Shasta, a system that supports a shared address space in software on clusters of computers with physically distributed memory. A unique aspect of Shasta compa...
Daniel J. Scales, Kourosh Gharachorloo, Chandramoh...
132
Voted
ICC
2007
IEEE
15 years 10 months ago
Joint Transmitter-Receiver Beamforming Over Space-Time Fading Channels
Abstract—The problem of joint transmitter and receiver beamforming in the downlink DS-CDMA over multipath fading channels is considered in this paper. The proposed investigation ...
Tingting Zhang, Athanassios Manikas
110
Voted
SDM
2007
SIAM
98views Data Mining» more  SDM 2007»
15 years 5 months ago
Lattice based Clustering of Temporal Gene-Expression Matrices
Individuals show different cell classes when they are in the different stages of a disease, have different disease subtypes, or have different response to a treatment or envir...
Yang Huang, Martin Farach-Colton