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ACIVS
2006
Springer
14 years 1 months ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
AAAI
2006
13 years 11 months ago
Unifying Logical and Statistical AI
Intelligent agents must be able to handle the complexity and uncertainty of the real world. Logical AI has focused mainly on the former, and statistical AI on the latter. Markov l...
Pedro Domingos, Stanley Kok, Hoifung Poon, Matthew...
NIPS
2003
13 years 11 months ago
From Algorithmic to Subjective Randomness
We explore the phenomena of subjective randomness as a case study in understanding how people discover structure embedded in noise. We present a rational account of randomness per...
Thomas L. Griffiths, Joshua B. Tenenbaum
TOG
2008
127views more  TOG 2008»
13 years 10 months ago
Hair photobooth: geometric and photometric acquisition of real hairstyles
We accurately capture the shape and appearance of a person's hairstyle. We use triangulation and a sweep with planes of light for the geometry. Multiple projectors and camera...
Sylvain Paris, Will Chang, Oleg I. Kozhushnyan, Wo...
JOLLI
1998
103views more  JOLLI 1998»
13 years 9 months ago
An Interpretation of Default Logic in Minimal Temporal Epistemic Logic
When reasoning about complex domains, where information available is usually only partial, nonmonotonic reasoning can be an important tool. One of the formalisms introduced in thi...
Joeri Engelfriet, Jan Treur