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» Auxiliary Deep Generative Models
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CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning
In this paper we present a method for learning classspecific features for recognition. Recently a greedy layerwise procedure was proposed to initialize weights of deep belief ne...
Mohammad Norouzi (Simon Fraser University), Mani R...
AIPS
2000
13 years 10 months ago
Challenges and Methods in Testing the Remote Agent Planner
The Remote Agent Experiment (RAX) on the Deep Space 1 (DS1) mission was the first time that an artificially intelligent agent controlled a NASA spacecraft. One of the key componen...
Benjamin D. Smith, Martin S. Feather, Nicola Musce...
ATVA
2006
Springer
191views Hardware» more  ATVA 2006»
14 years 8 days ago
Automatic Verification of Hybrid Systems with Large Discrete State Space
We address the problem of model checking hybrid systems which exhibit nontrivial discrete behavior and thus cannot be treated by considering the discrete states one by one, as most...
Werner Damm, Stefan Disch, Hardi Hungar, Jun Pang,...
SIGSOFT
2003
ACM
14 years 9 months ago
A strategy for efficiently verifying requirements
This paper describes a compositional proof strategy for verifying properties of requirements specifications. The proof strategy, which may be applied using either a model checker ...
Ralph D. Jeffords, Constance L. Heitmeyer
TCAD
2008
114views more  TCAD 2008»
13 years 8 months ago
Test-Quality/Cost Optimization Using Output-Deviation-Based Reordering of Test Patterns
At-speed functional testing, delay testing, and n-detection test sets are being used today to detect deep submicrometer defects. However, the resulting test data volumes are too hi...
Zhanglei Wang, Krishnendu Chakrabarty