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AI
2002
Springer
13 years 7 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
SIGIR
2005
ACM
14 years 1 months ago
A database centric view of semantic image annotation and retrieval
We introduce a new model for semantic annotation and retrieval from image databases. The new model is based on a probabilistic formulation that poses annotation and retrieval as c...
Gustavo Carneiro, Nuno Vasconcelos
IUI
2006
ACM
14 years 1 months ago
A cognitively based approach to affect sensing from text
Studying the relationship between natural language and affective information as well as assessing the underpinned affective qualities of natural language are becoming crucial for ...
Shaikh Mostafa Al Masum, Helmut Prendinger, Mitsur...
CASES
2008
ACM
13 years 10 months ago
Multi-granularity sampling for simulating concurrent heterogeneous applications
Detailed or cycle-accurate/bit-accurate (CABA) simulation is a critical phase in the design flow of embedded systems. However, with increasing system complexity, full detailed sim...
Melhem Tawk, Khaled Z. Ibrahim, Smaïl Niar
DAC
2006
ACM
13 years 9 months ago
A fast HW/SW FPGA-based thermal emulation framework for multi-processor system-on-chip
With the growing complexity in consumer embedded products and the improvements in process technology, Multi-Processor SystemOn-Chip (MPSoC) architectures have become widespread. T...
David Atienza, Pablo Garcia Del Valle, Giacomo Pac...