Handwritten character recognition is always a frontier area of research in the field of pattern recognition and image processing and there is a large demand for OCR on hand written documents. Even though, sufficient studies have performed in foreign scripts like Chinese, Japanese and Arabic characters, only a very few work can be traced for handwritten character recognition of Indian scripts es...

Kernels for structured data are rapidly becoming an essential part of the machine learning toolbox. Graph kernels provide similarity measures for complex relational objects, such as molecules and enzymes. Graph kernels based on walks are popular due their fast computation but their predictive performance is often not satisfactory, while kernels based on subgraphs suffer from high computational ...

We propose a family of kernels based on the Binet-Cauchy theorem and its extension to Fredholm operators. This includes as special cases all currently known kernels derived from the behavioral framework, diffusion processes, marginalized kernels, kernels on graphs, and the kernels on sets arising from the subspace angle approach. Many of these kernels can be seen as the extrema of a new continu...

Radial basis function networks are usually trained according to a three-stage procedure. In the literature, many papers are devoted to the estimation of the position of Gaussian kernels, as well as the computation of the weights. Meanwhile, very few focus on the estimation of the kernel widths. In this paper, first, we develop a heuristic to optimize the widths in order to improve the generaliz...

Recent advances in multimodal theory and unstable theory have paved the way for telephony. In fact, few hackers worldwide would disagree with the exploration of architecture, which embodies the private principles of software engineering. Our focus in our research is not on whether courseware [23] and von Neumann machines can agree to fulfill this intent, but rather on motivating an amphibious t...

The density and aflatoxin content of individual cateye fluorescent cottonseeds have been investigated. In general, higher average levels of aflatoxin contamination were found among the lower density seeds. However, significant amounts of aflatoxins were detected in a few of the higher density seeds. Subjective evaluation of color and texture of dissected kernels indicated a predominance of poor...

We summarize a recent calculation of the evolution kernels of the two-particle B-meson distribution amplitudes φ+ and φ− taking into account three-particle contributions. In addition to a few phenomenological comments, we give as a new result the evolution kernel of the combination of three-particle distribution amplitudes ΨA −ΨV and confirm constraints on φ+ and φ− derived from the light-quark...

An entirely new set of criteria for the design of kernels (generating functions) for time-frequency representations (TFRs) is presented. These criteria aim only to produce kernels (and thus, TFRs) which will enable more accurate classification. We refer to these kernels, which are optimized to discriminate among several classes of signals, as signal class dependent kernels, or simply class depe...

This paper provides an overview of string kernels. String kernels compare text documents by the substrings they contain. Because of high computational complexity, methods for approximating string kernels are shown. Several extensions for string kernels are also presented. Finally string kernels are compared to BOW.

Object recognition in images involves identifying objects with partial occlusions, viewpoint changes, varying illumination, cluttered backgrounds. Recent work in object recognition uses machine learning techniques SVM-KNN, Local Ensemble Kernel Learning, Multiple Kernel Learning. In this paper, we want to utilize SVM as week learners in AdaBoost. Experiments are done with classifiers like neare...