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» Multiple target detection using Bayesian learning
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CVPR
2011
IEEE
13 years 1 months ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
KDD
1997
ACM
184views Data Mining» more  KDD 1997»
14 years 2 months ago
JAM: Java Agents for Meta-Learning over Distributed Databases
In this paper, we describe the JAM system, a distributed, scalable and portable agent-based data mining system that employs a general approach to scaling data mining applications ...
Salvatore J. Stolfo, Andreas L. Prodromidis, Shell...
BMCBI
2010
156views more  BMCBI 2010»
13 years 10 months ago
Extended morphological processing: a practical method for automatic spot detection of biological markers from microscopic images
Background: A reliable extraction technique for resolving multiple spots in light or electron microscopic images is essential in investigations of the spatial distribution and dyn...
Yoshitaka Kimori, Norio Baba, Nobuhiro Morone
ISER
1999
Springer
108views Robotics» more  ISER 1999»
14 years 2 months ago
Combination of Several Vision Sensors for Interpretation of Human Actions
: In this paper we describe how the combination of several vision sensors can be used to track multiple human targets in a typical surveillance situation. The experimental system d...
Paulo Peixoto, Jorge Batista, Helder Araújo...
NIPS
2008
13 years 11 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong