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IJCV
2000
180views more  IJCV 2000»
13 years 7 months ago
Probabilistic Models of Appearance for 3-D Object Recognition
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
Arthur R. Pope, David G. Lowe
IJCIS
2006
80views more  IJCIS 2006»
13 years 7 months ago
A Layered Framework for Connecting Client Objectives and Resource Capabilities
entifies three levels of abstraction for resource requirements a service provider needs to manage, detailed specification of raw resources, virtualization of heterogeneous resource...
Asit Dan, Kavitha Ranganathan, Catalin Dumitrescu,...
ML
2012
ACM
413views Machine Learning» more  ML 2012»
12 years 3 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
TWC
2008
119views more  TWC 2008»
13 years 7 months ago
Flow-level performance of opportunistic OFDM-TDMA and OFDMA networks
Abstract--In this paper, the flow-level performance of opportunistic scheduling in orthogonal frequency division multiplexing (OFDM) networks is studied. The analysis accounts for ...
Lei Lei, Chuang Lin, Jun Cai, Xuemin Shen
ECAL
2007
Springer
14 years 1 months ago
Measuring Entropy in Embodied Neural Agents with Homeostasic Units: A Link Between Complexity and Cybernetics
Abstract. We present a model of a recurrent neural network with homeostasic units, embodied in a minimalist articulated agent with a single link and joint. The configuration of th...
Jorge Simão