TMI
2010
13 years 10 months ago
2010
—We present a computer-aided detection (CAD) system for computed tomography colonography that orders the polyps according to clinical relevance. The CAD system consists of two st...
TMC
2010
13 years 10 months ago
2010
—Recent years have witnessed the deployments of wireless sensor networks in a class of mission-critical applications such as object detection and tracking. These applications oft...
MMMACNS
2010
Springer
13 years 11 months ago
2010
Springer
Botnets have become the most powerful tool for attackers to victimize countless users across cyberspace. Previous work on botnet detection has mainly focused on identifying infecte...
MICCAI
2010
Springer
13 years 11 months ago
2010
Springer
Lymph node detection and measurement is a difficult and important part of cancer treatment. In this paper we present a robust and effective learning-based method for the automatic...
IV
2010
IEEE
13 years 11 months ago
2010
IEEE
An important task in exploration of data about phenomena and processes that develop over time is detection of significant changes that happened to the studied phenomenon. Our rese...
ISVC
2010
Springer
13 years 11 months ago
2010
Springer
This paper describes a method to minimize the immense training time of the conventional Adaboost learning algorithm in object detection by reducing the sampling area. A new algorit...
INFOCOM
2010
IEEE
13 years 11 months ago
2010
IEEE
Abstract—In cognitive radio networks (CRNs), detecting smallscale primary devices—such as wireless microphones (WMs)— is a challenging, but very important, problem that has n...
IJISTA
2010
13 years 11 months ago
2010
Recently, accidents such that seniors fall down from the bed in care facilities or hospitals are increased. To prevent these accidents, we have developed an awakening detection sys...
ICRA
2010
IEEE
13 years 11 months ago
2010
IEEE
— This work addresses the task of designing the optimal survey route that an autonomous underwater vehicle (AUV) should take in mine countermeasures (MCM) operations. It is assum...
CORR
2010
Springer
13 years 11 months ago
2010
Springer
—We apply large deviations theory to study asymptotic performance of running consensus distributed detection in sensor networks. Running consensus is a stochastic approximation t...