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CVPR
2009
IEEE
15 years 4 months ago
Unsupervised Learning of Hierarchical Spatial Structures In Images
The visual world demonstrates organized spatial patterns, among objects or regions in a scene, object-parts in an object, and low-level features in object-parts. These classes o...
Devi Parikh (Carnegie Mellon University), C. Lawre...
ICCV
1999
IEEE
14 years 11 months ago
Unsupervised Image Classification with a Hierarchical EM Algorithm
This work takes place in the context of hierarchical stochastic models for the resolution of discrete inverse problems from low level vision. Some of these models lie on the nodes...
Annabelle Chardin, Patrick Pérez
SIGMOD
2005
ACM
177views Database» more  SIGMOD 2005»
14 years 9 months ago
An approach for pipelining nested collections in scientific workflows
We describe an approach for pipelining nested data collections in scientific workflows. Our approach logically delimits arbitrarily nested collections of data tokens using special...
Timothy M. McPhillips, Shawn Bowers
CVPR
2010
IEEE
14 years 5 months ago
Locally-Parametric Pictorial Structures
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
Benjamin Sapp, Chris Jordan, Ben Taskar
SENSYS
2009
ACM
14 years 3 months ago
Experiences with a high-fidelity wireless building energy auditing network
We describe the design, deployment, and experience with a wireless sensor network for high-fidelity monitoring of electrical usage in buildings. A network of 38 mote-class AC met...
Xiaofan Jiang, Minh Van Ly, Jay Taneja, Prabal Dut...