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BMCBI
2011
12 years 11 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
PACT
2005
Springer
14 years 29 days ago
Optimal Behavior of a Moving Creature in the Cellular Automata Model
The goal of our investigation is to find automatically the best rule for a cell in the cellular automata model. The cells are either of type Obstacle, Empty or Creature. Only Crea...
Mathias Halbach, Rolf Hoffmann
TVLSI
2008
187views more  TVLSI 2008»
13 years 7 months ago
A Design Flow for Architecture Exploration and Implementation of Partially Reconfigurable Processors
During the last years, the growing application complexity, design, and mask costs have compelled embedded system designers to increasingly consider partially reconfigurable applica...
Kingshuk Karuri, Anupam Chattopadhyay, Xiaolin Che...
ISSS
2002
IEEE
127views Hardware» more  ISSS 2002»
14 years 11 days ago
Validation in a Component-Based Design Flow for Multicore SoCs
Currently, since many SoCs include heterogeneous components such as CPUs, DSPs, ASICs, memories, buses, etc., system integration becomes a major step in the design flow. To enable...
Ahmed Amine Jerraya, Sungjoo Yoo, Aimen Bouchhima,...
CVIU
2007
152views more  CVIU 2007»
13 years 7 months ago
A random sampling strategy for piecewise planar scene segmentation
We investigate the problem of automatically creating 3D models of man-made environments that we represent as collections of textured planes. A typical approach is to automatically...
Adrien Bartoli