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CVPR
2010
IEEE
15 years 3 months ago
Latent Hierarchical Structural Learning for Object Detection
We present a latent hierarchical structural learning method for object detection. An object is represented by a mixture of hierarchical tree models where the nodes represent objec...
Leo Zhu, Yuanhao Chen, Antonio Torralba, Alan Yuil...
ICDCSW
2000
IEEE
15 years 2 months ago
Enabling Flexible QoS Support in the Object Request Broker COOL
Support of end-to-end Quality-of-Service (QoS) and ate high-level programming abstractions are two crucial factors for the development of future telecommunication services and dis...
Tom Kristensen, Thomas Plagemann
ESANN
2006
14 years 11 months ago
Iterative context compilation for visual object recognition
This contribution describes an almost parameterless iterative context compilation method, which produces feature layers, that are especially suited for mixed bottom-up top-down ass...
Jens Teichert, Rainer Malaka
ICPADS
2006
IEEE
15 years 3 months ago
Joint Optimization of MAC and Network Coding for Cooperative and Competitive Wireless Multicasting
In this paper, we address the problem of cross-layer optimization in medium access control (MAC) and network layers for wireless multicasting with multiple cooperative or competit...
Yalin Evren Sagduyu, Anthony Ephremides
ICCV
2011
IEEE
13 years 9 months ago
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
Matthew D. Zeiler, Graham W. Taylor, Rob Fergus