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CVPR
2010
IEEE
14 years 5 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
VL
2008
IEEE
14 years 4 months ago
End-user programming in the wild: A field study of CoScripter scripts
Although a new class of languages has emerged to enable end users to create their own web applications, little is known about how end-user programmers actually use such languages ...
Christopher Bogart, Margaret M. Burnett, Allen Cyp...
ISPD
2005
ACM
239views Hardware» more  ISPD 2005»
14 years 3 months ago
Mapping algorithm for large-scale field programmable analog array
Modern advances in reconfigurable analog technologies are allowing field-programmable analog arrays (FPAAs) to dramatically grow in size, flexibility, and usefulness. With thes...
I. Faik Baskaya, Sasank Reddy, Sung Kyu Lim, Tyson...
EMMCVPR
2005
Springer
14 years 3 months ago
Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
Sanjiv Kumar, Jonas August, Martial Hebert
SIGCSE
2010
ACM
150views Education» more  SIGCSE 2010»
14 years 3 months ago
Expanding the frontiers of computer science: designing a curriculum to reflect a diverse field
While the discipline of computing has evolved significantly in the past 30 years, Computer Science curricula have not as readily adapted to these changes. In response, we have rec...
Mehran Sahami, Alex Aiken, Julie Zelenski