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The Power of Multiscale Representation for Accurate 3D Hand Pose Estimation – In this paper, we explore multiscale representation of facial expressions with expressive power and demonstrate results on multi-scale face estimation from four popular metrics: facial expression, facial expression volume, expression pose and face pose estimation. Experiments with several facial expression datasets (e.g., CelebA, […]

Learning with Discrete Data for Predictive Modeling – This work presents a novel, unified approach to learn a predictive model with nonlinear constraints. Specifically, we first construct a model in nonlinear context and then perform inference, given the constraints. As opposed to the previous approaches, we perform inference and infer the models, in contrast to […]

A Neural Projection-based Weight Normalization Scheme for Robust Video Categorization – This paper presents a method for object segmentation based on the combination of a visual and a textual model for the text data. It was proposed by Dharwani et al in 2009, and is still a work in progress in this paper. The proposed […]

Multi-class Classification Using Kernel Methods with the Difference Longest Common Vectors – We propose a new statistical method based on a general formulation of the maximum sample complexity (measured as the average of the true-valued samples. In this paper a general formulation of the mean-field with respect to the sum of the absolute and the […]

A New Depth-driven Alignment Criterion for Pose Prediction – We propose the Spatially Unaligned Alignment (ST-A) matrix to perform segmentation in images. The proposed method is based on the ST-A matrix, which has the ability to align the segments from a posteriori to a posteriori. We implement ST-A matrix in R, and evaluate it on […]

An Effective Distributed Real-time Method of Dependency Parsing for Web Applications – We describe the problem of extracting, parsing and annotating content from a web text. The text is a mixture of textual and non-text information that consists of a text tree (a set of tags), an image (a representation of a visual representation of […]

Theory of a Divergence Annealing for Inferred State-Space Models – This paper presents an algorithm for learning a nonnegative matrix as sparse. We first describe the algorithm, and then present two empirical results that characterize the algorithm in terms of the number of parameters and the solution to a nonnegative matrix. We also provide a […]

Clustering and Classification of Data Using Polynomial Graphs – We present a scalable and principled heuristic algorithm for the clustering problem of predicting the clusters of data, in the form of an optimization problem where the objective of optimization is to cluster data by finding a set of candidate clusters, given an unlabeled dataset. A […]

Variational Dictionary Learning – Natural language is a very powerful language system to understand the world and understand the language. The goal of our system is to learn the language of humans in order to understand the way of the world. We design an intelligent system to learn the language of humans from a dataset […]

Learning the Stable Warm Welcome: Learning to the Stable Warm Welcome with Spatial Transliteration – We present a simple yet powerful model for learning the semantics of symbolic sentences in a language learning scenario. We use the model to learn how to represent the relationship between words in a sentence in an unconstrained way, and […]