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» Inferring High-Level Behavior from Low-Level Sensors
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ECCV
2010
Springer
13 years 11 months ago
Geometric Image Parsing in Man-Made Environments
Abstract. We present a new parsing framework for the line-based geometric analysis of a single image coming from a man-made environment. This parsing framework models the scene as ...
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 6 months ago
Evolution of discrete gene regulatory models
Gene regulatory networks (GRNs) are complex control systems that govern the interaction of genes, which ultimately control cellular processes at the protein level. GRNs can be ted...
Afshin Esmaeili, Christian Jacob
CRV
2005
IEEE
208views Robotics» more  CRV 2005»
13 years 11 months ago
Topology Inference for a Vision-Based Sensor Network
In this paper we describe a technique to infer the topology and connectivity information of a network of cameras based on observed motion in the environment. While the technique c...
Dimitri Marinakis, Gregory Dudek
ICRA
2005
IEEE
150views Robotics» more  ICRA 2005»
13 years 11 months ago
Learning Sensor Network Topology through Monte Carlo Expectation Maximization
— We consider the problem of inferring sensor positions and a topological (i.e. qualitative) map of an environment given a set of cameras with non-overlapping fields of view. In...
Dimitri Marinakis, Gregory Dudek, David J. Fleet
ICCAD
2001
IEEE
91views Hardware» more  ICCAD 2001»
14 years 2 months ago
A System for Synthesizing Optimized FPGA Hardware from MATLAB
Efficient high level design tools that can map behavioral descriptions to FPGA architectures are one of the key requirements to fully leverage FPGA for high throughput computatio...
Malay Haldar, Anshuman Nayak, Alok N. Choudhary, P...