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JCNS
2010
104views more  JCNS 2010»
15 years 5 months ago
A new look at state-space models for neural data
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
SIGMOD
2010
ACM
598views Database» more  SIGMOD 2010»
15 years 11 months ago
Ricardo: integrating R and Hadoop
Many modern enterprises are collecting data at the most detailed level possible, creating data repositories ranging from terabytes to petabytes in size. The ability to apply sophi...
Sudipto Das, Yannis Sismanis, Kevin S. Beyer, Rain...
NIPS
1997
15 years 8 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis
212
Voted
FGR
2006
IEEE
163views Biometrics» more  FGR 2006»
16 years 26 days ago
Human Action Recognition Using Multi-View Image Sequences Features
Recognizing human action from image sequences is an active area of research in computer vision. In this paper, we present a novel method for human action recognition from image se...
Mohiuddin Ahmad, Seong-Whan Lee
IV
2006
IEEE
108views Visualization» more  IV 2006»
16 years 25 days ago
From Visualization to Manipulation of RNA Secondary and Tertiary Structures
Ribonucleic Acid (RNA) is an important molecule which performs a wide range of functions in biological systems. We present a method for visualizing, exploring and editing RNA mole...
Gilles Bailly, David Auber, Laurence Nigay