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» Improving Cause Detection Systems with Active Learning
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WWW
2004
ACM
15 years 10 months ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
CVPR
2011
IEEE
14 years 6 months ago
Learning to Share Visual Appearance for Multiclass Object Detection
We present a hierarchical classification model that allows rare objects to borrow statistical strength from related objects that have many training examples. Unlike many of the e...
Ruslan Salakhutdinov, Antonio Torralba, Josh Tenen...
IPMI
2009
Springer
15 years 10 months ago
Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images
Recently, marginal space learning (MSL) was proposed as a generic approach for automatic detection of 3D anatomical structures in many medical imaging modalities [1]. To accurately...
Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu
HASE
2008
IEEE
14 years 10 months ago
Randomization Based Probabilistic Approach to Detect Trojan Circuits
In this paper, we propose a randomization based technique to verify whether a manufactured chip conforms to its design or is infected by any trojan circuit. A trojan circuit can be...
Susmit Jha, Sumit Kumar Jha
CONNECTION
2006
172views more  CONNECTION 2006»
14 years 9 months ago
Temporal sequence detection with spiking neurons: towards recognizing robot language instructions
We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...
Christo Panchev, Stefan Wermter