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ECCV
2010
Springer
15 years 2 months ago
What, Where & How Many? Combining Object Detectors and CRFs
Abstract. Computer vision algorithms for individual tasks such as object recognition, detection and segmentation have shown impressive results in the recent past. The next challeng...
CVPR
1997
IEEE
15 years 1 months ago
Smoothness in Layers: Motion segmentation using nonparametric mixture estimation
Grouping based on common motion, or “common fate” provides a powerful cue for segmenting image sequences. Recently a number of algorithms have been developed that successfully...
Yair Weiss
ICML
2007
IEEE
15 years 10 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
JCSS
2007
63views more  JCSS 2007»
14 years 9 months ago
Holistic analysis of asynchronous real-time transactions with earliest deadline scheduling
In distributed real-time systems, an application is often modeled as a set of real-time transactions, where each transaction is a chain of precedence-constrained tasks. Each task ...
Rodolfo Pellizzoni, Giuseppe Lipari
ICCV
2005
IEEE
15 years 11 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah