Browsing by Author Jan, T

Showing results 1 to 20 of 32  next >
Issue DateTitleAuthor(s)
1-Aug-2010VQSVM: A case study for incorporating prior domain knowledge into inductive machine learningYu, T; Simoff, S; Jan, T
Jan-2010Machine Learning Techniques for Network Intrusion DetectionTran, TP; Tsai, PC; Jan, T; He, S; Shawkat Ali, ABM; Xiang, Y
1-Sep-2009A bi-modal face recognition framework integrating facial expression with facial appearanceTsai, P; Cao, L; Hintz, T; Jan, T
1-Dec-2008An evaluation of bi-modal facial appearance+facial expression face biometricsTsai, P; Tran, TP; Hintz, T; Jan, T
1-Dec-2008An adjustable combination of linear regression and modified probabilistic neural network for anti-spam filteringTran, TP; Tsai, P; Jan, T
Jan-2008Adaptive Multiple Experts System for personal identification using facial behaviour biometricsTsai, PC; Tran, TP; Hintz, TB; Jan, T; N/A
Jan-2008Discriminant Subspace Analysis for Uncertain Situation in Facial RecognitionTsai, PC; Hintz, TB; Tran, TP; Jan, T; Delac, K; Grgic, M; Bartlett, MS
1-Dec-2007Kernel-based subspace analysis for face recognitionTsai, P; Jan, T; Hintz, T
1-Dec-2007Facial behavior as behavior biometrie? An empirical studyTsai, P; Hintz, T; Jan, T
1-Dec-2007A hierarchical VQSVM for imbalanced data setsYu, T; Jan, T; Simoff, S; Debenham, J
21-Dec-2006Combine vector quantization and support vector machine for imbalanced datasetsYu, T; Debenham, J; Jan, T; Simoff, S
1-Dec-2006Boosted Modified Probabilistic Neural Network (BMPNN) for network intrusion detectionTran, TP; Jan, T
Jan-2006Boosted Modified Probabilistic Neural Network (BMPNN) for Network Intrusion DetectionTran, TP; Jan, T; NA
Jan-2006Classify unexpected news impacts to stock price by incorporating time series analysis into support vector machineYu, T; Jan, T; Debenham, JK; Simoff, SJ; Yen, G
1-Dec-2005Incorporate domain knowledge into support vector machine to classify price impacts of unexpected newsYu, T; Jan, T; Debenham, J; Simoff, S
1-Dec-2005Vector quantized radial basis function neural network with embedded multiple local linear models for financial predictionJan, T; Kim, M
1-Dec-2005Machine learning techniques and use of event information for stock market prediction: A survey and evaluationYoo, PD; Kim, MH; Jan, T
30-Nov-2005Expression-invariant face recognition system using subspace model analysisTsai, PH; Jan, T
1-Dec-2004Stochastic boats generated acoustic target signal detection in time-frequency domainCheng, ED; Piccardi, M; Jan, T
1-Dec-2004Mean-shift background image modellingPiccardi, M; Jan, T