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ICIAP
2009
ACM
14 years 3 months ago
Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents
Multi-modality is a fundamental feature that characterizes biological systems and lets them achieve high robustness in understanding skills while coping with uncertainty. Relativel...
Nicoletta Noceti, Barbara Caputo, Claudio Castelli...
ICIP
2007
IEEE
14 years 27 days ago
Real-Time Pedestrian Detection using Eigenflow
We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e. the ...
Dhiraj Goel, Tsuhan Chen
ICIP
2005
IEEE
14 years 10 months ago
Combining MCTF with distributed source coding
Motion Compensated Temporal Filtering (MCTF) has proved to be an efficient coding tool in the design of open-loop scalable video codecs. In this paper we propose a MCTF video codi...
Marco Tagliasacchi, Stefano Tubaro, Augusto Sarti
BMCBI
2011
13 years 3 months ago
Phenotype Recognition with Combined Features and Random Subspace Classifier Ensemble
Background: Automated, image based high-content screening is a fundamental tool for discovery in biological science. Modern robotic fluorescence microscopes are able to capture th...
Bailing Zhang, Tuan D. Pham
ISCAPDCS
2003
13 years 10 months ago
Optimal Graph Transformation Assuming Alternate Scheduling Models
Many computation-intensive iterative or recursive applications commonly found in digital signal processing and image processing applications can be represented by data-flow graph...
Timothy W. O'Neil