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» Computational Alternatives to Random Number Generators
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ICCV
2003
IEEE
14 years 9 months ago
A Multi-scale Generative Model for Animate Shapes and Parts
This paper presents a multi-scale generative model for representing animate shapes and extracting meaningful parts of objects. The model assumes that animate shapes (2D simple clo...
Aleksandr Dubinskiy, Song Chun Zhu
FOCS
1998
IEEE
13 years 12 months ago
The Shortest Vector in a Lattice is Hard to Approximate to Within Some Constant
We show that approximating the shortest vector problem (in any p norm) to within any constant factor less than p 2 is hard for NP under reverse unfaithful random reductions with i...
Daniele Micciancio
MVA
2007
158views Computer Vision» more  MVA 2007»
13 years 7 months ago
Hybrid object labelling in digital images
The application of a technique for labelling connected components based on the classical recursive technique is studied. The recursive approach permits labelling, counting, and cha...
Julio Martín-Herrero
ATS
2000
IEEE
145views Hardware» more  ATS 2000»
14 years 4 days ago
Compaction-based test generation using state and fault information
We present a new test generation procedure for sequential circuits using newly traversed state and newly detected fault information obtained between successive iterations of vecto...
Ashish Giani, Shuo Sheng, Michael S. Hsiao, Vishwa...
DAC
2004
ACM
13 years 11 months ago
Probabilistic regression suites for functional verification
Random test generators are often used to create regression suites on-the-fly. Regression suites are commonly generated by choosing several specifications and generating a number o...
Shai Fine, Shmuel Ur, Avi Ziv