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ICPR
2010
IEEE
10 years 10 months ago
Automatic Detection and Segmentation of Focal Liver Lesions in Contrast Enhanced CT Images
Abstract—In this paper a novel system for automatic detection and segmentation of focal liver lesions in CT images is presented. It utilizes a probabilistic boosting tree to clas...
Arne Militzer, Tobias Hager, Florian Jäger, Chris...
TIT
2008
132views more  TIT 2008»
10 years 11 months ago
Locally Optimum Detection of Signals in Multiplicative and First-Order Markov Additive Noises
Abstract--In most previously reported studies on locally optimum detection of signals, independent observations have been assumed in various noise environments. The use of an indep...
Jumi Lee, Iickho Song, Hyoungmoon Kwon, Hong Jik K...
TMI
2002
143views more  TMI 2002»
10 years 11 months ago
A Support Vector Machine Approach for Detection of Microcalcifications
In this paper, we investigate an approach based on support vector machines (SVMs) for detection of microcalcification (MC) clusters in digital mammograms, and propose a successive ...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
TIP
2002
131views more  TIP 2002»
10 years 11 months ago
Optimal edge-based shape detection
Abstract--We propose an approach to accurately detecting twodimensional (2-D) shapes. The cross section of the shape boundary is modeled as a step function. We first derive a one-d...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld
DC
1998
10 years 11 months ago
Detection of Global Predicates: Techniques and Their Limitations
We show that the problem of predicate detection in distributed systems is NP-complete. In the past, efficient algorithms have been developed for special classes of predicates suc...
Craig M. Chase, Vijay K. Garg
JSS
2000
85views more  JSS 2000»
10 years 11 months ago
An experimental comparison of reading techniques for defect detection in UML design documents
The basic motivation for software inspections is to detect and remove defects before they propagate to subsequent development phases where their detection and removal becomes more...
Oliver Laitenberger, Colin Atkinson, Maud Schlich,...
IJCV
2000
136views more  IJCV 2000»
10 years 11 months ago
A Trainable System for Object Detection
This paper presents a general, trainable system for object detection in unconstrained, cluttered scenes. The system derives much of its power from a representation that describes a...
Constantine Papageorgiou, Tomaso Poggio
CVIU
2004
125views more  CVIU 2004»
10 years 11 months ago
Efficient detection under varying illumination conditions and image plane rotations
This paper focuses on the detection of objects with a Lambertian surface under varying illumination and pose. We offer to apply a novel detection method that proceeds by modeling ...
Margarita Osadchy, Daniel Keren
TSP
2008
118views more  TSP 2008»
10 years 11 months ago
Maximum-Likelihood Detection of Orthogonal Space-Time Block Coded OFDM in Unknown Block Fading Channels
For orthogonal space-time block coded orthogonal frequency division multiplexing (OSTBC-OFDM) systems, many of the existing blind detection and channel estimation methods rely on t...
Tsung-Hui Chang, Wing-Kin Ma, Chong-Yung Chi
TMC
2008
109views more  TMC 2008»
10 years 11 months ago
Intrusion Detection in Homogeneous and Heterogeneous Wireless Sensor Networks
Intrusion detection in Wireless Sensor Network (WSN) is of practical interest in many applications such as detecting an intruder in a battlefield. The intrusion detection is define...
Yun Wang, Xiaodong Wang, Bin Xie, Demin Wang, Dhar...
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