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ET
2002
72views more  ET 2002»
8 years 11 months ago
Deterministic Test Vector Compression/Decompression for Systems-on-a-Chip Using an Embedded Processor
Abstract. A novel approach for using an embedded processor to aid in deterministic testing of the other components of a system-on-a-chip (SOC) is presented. The tester loads a prog...
Abhijit Jas, Nur A. Touba
TVLSI
2008
133views more  TVLSI 2008»
8 years 12 months ago
Test Data Compression Using Selective Encoding of Scan Slices
We present a selective encoding method that reduces test data volume and test application time for scan testing of Intellectual Property (IP) cores. This method encodes the slices ...
Zhanglei Wang, Krishnendu Chakrabarty
TCSV
2008
166views more  TCSV 2008»
8 years 12 months ago
A Framework for Evaluating Stereo-Based Pedestrian Detection Techniques
Automated pedestrian detection, counting, and tracking have received significant attention in the computer vision community of late. As such, a variety of techniques have been inve...
Philip Kelly, Noel E. O'Connor, Alan F. Smeaton
IIE
2007
159views more  IIE 2007»
8 years 12 months ago
Creating and Visualizing Test Data from Programming Exercises
Automatic assessment of programming exercises is typically based on testing approach. Most automatic assessment frameworks execute tests and evaluate test results automatically, bu...
Petri Ihantola
JUCS
2008
139views more  JUCS 2008»
8 years 12 months ago
A Progressive Learning Method for Symbol Recognition
: This paper deals with a progressive learning method for symbol recognition which improves its own recognition rate when new symbols are recognized in graphic documents. We propos...
Sabine Barrat, Salvatore Tabbone
JAIR
2006
110views more  JAIR 2006»
8 years 12 months ago
Domain Adaptation for Statistical Classifiers
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Hal Daumé III, Daniel Marcu
COR
2008
164views more  COR 2008»
9 years 2 days ago
Observations in using parallel and sequential evolutionary algorithms for automatic software testing
In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatica...
Enrique Alba, J. Francisco Chicano
ICASSP
2010
IEEE
9 years 5 days ago
Semi-Supervised Fisher Linear Discriminant (SFLD)
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
Seda Remus, Carlo Tomasi
ICASSP
2010
IEEE
9 years 6 days ago
A kernel mean matching approach for environment mismatch compensation in speech recognition
The mismatch between training and test environmental conditions presents a challenge to speech recognition systems. In this paper, we investigate an approach for matching the dist...
Abhishek Kumar, John H. L. Hansen
TRECVID
2007
9 years 1 months ago
Shot Boundary Detection at TRECVID 2007
Shot boundary detection is one of the most fundamental processes in video analysis, and it requires high detection accuracy and high-speed processing. This paper proposes a method...
Yoshihiko Kawai, Hideki Sumiyoshi, Nobuyuki Yagi
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