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» Missing Data Estimation Using Polynomial Kernels
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98
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Estimation of cortical connectivity from E/MEG using nonlinear state-space models
We present the problem of estimating cortical connectivity between different regions of the cortex from scalp electroencephalographic (EEG) or magnetoencephalographic (MEG) data a...
Bing Leung, Patrick Cheung, Barry D. Van Veen
90
Voted
CIDM
2007
IEEE
15 years 4 months ago
Efficient Kernel-based Learning for Trees
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
84
Voted
NIPS
2004
15 years 1 months ago
Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation
An analog system-on-chip for kernel-based pattern classification and sequence estimation is presented. State transition probabilities conditioned on input data are generated by an...
Shantanu Chakrabartty, Gert Cauwenberghs
CVPR
2010
IEEE
15 years 8 months ago
Locally-Parametric Pictorial Structures
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
Benjamin Sapp, Chris Jordan, Ben Taskar
110
Voted
RECOMB
2005
Springer
16 years 24 days ago
Improved Recombination Lower Bounds for Haplotype Data
Recombination is an important evolutionary mechanism responsible for the genetic diversity in humans and other organisms. Recently, there has been extensive research on understandi...
Vineet Bafna, Vikas Bansal