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The Gaussian process (GP) approaches to classification synthesize Bayesian methods and kernel techniques, which are developed for the purpose of small sample analysis. Here we propose a GP model and investigate it for the facial expression recognition in the Japanese female facial expression dataset. By the strategy of leave-one-out cross validation, the(More)
We describe the Nara Institute of Science and Technology (NAIST) spelling check system in the shared task. Our system contains three components: a word segmentation based language model to generate correction candidates; a statistical machine translation model to provide correction candidates and a Support Vector Machine (SVM) classifier to rerank the(More)
In this paper, a novel visual tracking method based on random ferns and random projection has been proposed. Instead of a binary comparison in the standard random ferns method, a subtraction is used in the proposed method. Different subtraction results are projected into a single real value by the random projection. The real value from the subtraction is(More)
Synthetic word analysis is a potentially important but relatively unexplored problem in Chinese natural language processing. Two issues with the conventional pipeline methods involving word segmentation are (1) the lack of a common segmentation standard and (2) the poor segmentation performance on OOV words. These issues may be circumvented if we adopt the(More)
This brief solves the stabilization problem of linear multiagent systems with discontinuous observations and time-varying parameter uncertainties under an undirected communication topology, where the agents can only intermittently share their information with their neighbors. Distributed observer-type protocols are constructed based on the relative states(More)
In this paper, a novel approach based Hidden Markov Models (HMMs) approach is proposed for human action recognition using 3D positions of body joints. Unlike existing works, this paper addresses the challenging problem of spatio-temporal alignment of human actions which come from intra-class variability and inter-class similarity of actions. The first and(More)