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DSN
2008
IEEE
16 years 1 months ago
A recurrence-relation-based reward model for performability evaluation of embedded systems
Embedded systems for closed-loop applications often behave as discrete-time semi-Markov processes (DTSMPs). Performability measures most meaningful to iterative embedded systems, ...
Ann T. Tai, Kam S. Tso, William H. Sanders
CVPR
2006
IEEE
16 years 24 days ago
Depth from Familiar Objects: A Hierarchical Model for 3D Scenes
We develop an integrated, probabilistic model for the appearance and three-dimensional geometry of cluttered scenes. Object categories are modeled via distributions over the 3D lo...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
ECML
2003
Springer
15 years 12 months ago
Optimizing Local Probability Models for Statistical Parsing
Abstract. This paper studies the properties and performance of models for estimating local probability distributions which are used as components of larger probabilistic systems ā€...
Kristina Toutanova, Mark Mitchell, Christopher D. ...
PODS
1998
ACM
152views Database» more  PODS 1998»
15 years 11 months ago
A Cost Model for Similarity Queries in Metric Spaces
We consider the problem of estimating CPU (distance computations) and I/O costs for processing range and k-nearest neighbors queries over metric spaces. Unlike the specific case ...
Paolo Ciaccia, Marco Patella, Pavel Zezula
AMDO
2006
Springer
15 years 10 months ago
Acquisition of Articulated Human Body Models Using Multiple Cameras
Abstract. Motion capture is an important application in different areas such as biomechanics, computer animation, and human-computer interaction. Current motion capture methods typ...
Aravind Sundaresan, Rama Chellappa