Journal ArticleDOI
Pattern Recognition and Machine Learning
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TLDR
This book covers a broad range of topics for regular factorial designs and presents all of the material in very mathematical fashion and will surely become an invaluable resource for researchers and graduate students doing research in the design of factorial experiments.Abstract:
(2007). Pattern Recognition and Machine Learning. Technometrics: Vol. 49, No. 3, pp. 366-366.read more
Citations
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Journal ArticleDOI
Ensemble SVM Method for Automatic Sleep Stage Classification
TL;DR: Classification performance results indicate that, it is possible to have an efficient sleep monitoring system with a single-channel EEG, and can be used effectively in medical and home-care applications.
Journal ArticleDOI
Fuzzy Restricted Boltzmann Machine for the Enhancement of Deep Learning
TL;DR: The fuzzy restricted Boltzmann machine (FRBM) and its learning algorithm are proposed in this paper, in which the parameters governing the model are replaced by fuzzy numbers, which shows that the representation capability of FRBM model is significantly better than the traditional RBM.
Journal ArticleDOI
Expectation–Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology
Hussain Fatakdawala,Jun Xu,Ajay Basavanhally,Gyan Bhanot,Shridar Ganesan,Michael Feldman,John E. Tomaszewski,Anant Madabhushi +7 more
TL;DR: A new segmentation scheme, expectation-maximization (EM) driven geodesic active contour with overlap resolution (EMaGACOR), which is an efficient, robust, reproducible, and accurate segmentation technique that could potentially be applied to other biomedical image analysis problems.
Proceedings ArticleDOI
Improved anomaly detection in crowded scenes via cell-based analysis of foreground speed, size and texture
TL;DR: Experiments on the recently published UCSD Anomaly Detection dataset show that the proposed method obtains considerably better results than three recent approaches: MPPCA, social force, and mixture of dynamic textures (MDT).
Proceedings ArticleDOI
Boredom, engagement and anxiety as indicators for adaptation to difficulty in games
TL;DR: An approach based on emotion recognition to maintain engagement of players in a game by modulating the game difficulty is proposed and it is concluded that playing at different levels gave rise to different emotional states and thatPlaying at the same level of difficulty several times elicits boredom.