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CVPR
2005
IEEE
16 years 8 months ago
Part-Based Statistical Models for Object Classification and Detection
We propose using simple mixture models to define a set of mid-level binary local features based on binary oriented edge input. The features capture natural local structures in the...
Elliot Joel Bernstein, Yali Amit
ICIP
2008
IEEE
16 years 7 months ago
Using local regression kernels for statistical object detection
We present a novel approach to the problem of detection of visual similarity between a template image, and patches in a given image. The method is based on the computation of a lo...
Hae Jong Seo, Peyman Milanfar
IEEEARES
2009
IEEE
16 years 24 days ago
Perfect Failure Detection in the Partitioned Synchronous Distributed System Model
—In this paper we show that it is possible to implement a perfect failure detector P (one that detects all faulty processes if and only if those processes failed) in a non-synchr...
Raimundo José de Araújo Macêdo...
ISBI
2009
IEEE
16 years 24 days ago
A Non-Parametric Approach to Automatic Change Detection in MRI Images of the Brain
We present a novel approach to change detection between two brain MRI scans (reference and target.) The proposed method uses a single modality to find subtle changes; and does no...
Hae Jong Seo, Peyman Milanfar
ARC
2009
Springer
140views Hardware» more  ARC 2009»
16 years 23 days ago
FPGA-Based Anomalous Trajectory Detection Using SOFM
A system for automatically classifying the trajectory of a moving object in a scene as usual or suspicious is presented. The system uses an unsupervised neural network (Self Organi...
Kofi Appiah, Andrew Hunter, Tino Kluge, Philip Aik...