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» Adapting Visual Category Models to New Domains
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EKNOW
2009
14 years 7 months ago
Visual Middle-Out Modeling of Problem Spaces
Modeling is a complex and central activity in many domains. Domain experts and designers usually work by drawing and create models from the middle-out; however, visual and middle-...
Andrea Valente
ML
2010
ACM
135views Machine Learning» more  ML 2010»
14 years 4 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer
SC
2004
ACM
15 years 3 months ago
A Parallel Visualization Pipeline for Terascale Earthquake Simulations
This paper presents a parallel visualization pipeline implemented at the Pittsburgh Supercomputing Center (PSC) for studying the largest earthquake simulation ever performed. The ...
Hongfeng Yu, Kwan-Liu Ma, Joel Welling
92
Voted
JSAT
2008
113views more  JSAT 2008»
14 years 9 months ago
Combining Adaptive and Dynamic Local Search for Satisfiability
In this paper we describe a stochastic local search (SLS) procedure for finding models of satisfiable propositional formulae. This new algorithm, gNovelty+ , draws on the features...
Duc Nghia Pham, John Thornton, Charles Gretton, Ab...
IWPC
2002
IEEE
15 years 2 months ago
An Open Visualization Toolkit for Reverse Architecting
Maintenance and evolution of complex software systems (such as large telecom embedded devices) involve activities such as reverse engineering (RE) and software visualization. Alth...
Alexandru Telea, Alessandro Maccari, Claudio Riva