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» Invariances in kernel methods: From samples to objects
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KBSE
2007
IEEE
15 years 9 months ago
Improving evolutionary class testing in the presence of non-public methods
Automating the generation of object-oriented unit tests is a challenging task. This is mainly due to the complexity and peculiarities that the principles of object-orientation imp...
Stefan Wappler, Ina Schieferdecker
ICIP
2007
IEEE
16 years 5 months ago
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
Tomas Izo, W. Eric L. Grimson
141
Voted
ISBI
2008
IEEE
16 years 4 months ago
A new detection scheme for multiple object tracking in fluorescence microscopy by joint probabilistic data association filtering
Tracking of multiple objects in biological image data is a challenging problem due largely to poor imaging conditions and complicated motion scenarios. Existing tracking algorithm...
Ihor Smal, Wiro J. Niessen, Erik H. W. Meijering
ICIP
2008
IEEE
16 years 5 months ago
Using point correspondences without projective deformation for multi-view stereo reconstruction
This paper proposes a novel algorithm to reconstruct a 3D surface from a calibrated set of images. In a first pass, it uses Scale Invariant Features Transform (SIFT) descriptor co...
Adrien Auclair, Nicole Vincent, Laurent D. Cohen
COMPGEOM
2003
ACM
15 years 8 months ago
Estimating surface normals in noisy point cloud data
In this paper we describe and analyze a method based on local least square fitting for estimating the normals at all sample points of a point cloud data (PCD) set, in the presenc...
Niloy J. Mitra, An Nguyen