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» Kernels for Semi-Structured Data
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104
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PAMI
2006
147views more  PAMI 2006»
15 years 2 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani
121
Voted
PR
2007
293views more  PR 2007»
15 years 2 months ago
Mean shift-based clustering
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
Kuo-Lung Wu, Miin-Shen Yang
133
Voted
BMVC
2010
15 years 20 days ago
Real-time Action Recognition by Spatiotemporal Semantic and Structural Forests
Whereas most existing action recognition methods require computationally demanding feature extraction and/or classification, this paper presents a novel real-time solution that ut...
Tsz-Ho Yu, Tae-Kyun Kim, Roberto Cipolla
137
Voted
ICASSP
2010
IEEE
15 years 19 days ago
Bandwidth-intensive FPGA architecture for multi-dimensional DFT
Multi-dimensional (MD) Discrete Fourier Transform (DFT) is a key kernel algorithm in many signal processing algorithms, including radar data processing and medical imaging. Althou...
Chi-Li Yu, Chaitali Chakrabarti, Sungho Park, Vija...
122
Voted
SRDS
2010
IEEE
15 years 15 days ago
DKSM: Subverting Virtual Machine Introspection for Fun and Profit
Virtual machine (VM) introspection is a powerful technique for determining the specific aspects of guest VM execution from outside the VM. Unfortunately, existing introspection so...
Sina Bahram, Xuxian Jiang, Zhi Wang, Mike Grace, J...