One classic approach to real-time object detection is to use adaboost to a train a set of look up tables of discrete features. By utilizing a discrete feature set, from features such as local binary patterns, efficient classifiers can be designed. However, these classifiers include interpolation operations while scaling the images over various scales. In this work, we propose the use of real va...

Image scaling is the process of resizing a digital image, wherein an image is converted from one resolution/dimension to another resolution/dimension without losing the visual content. It has many terminologies in literature such as Image Interpolation, image re-sampling, digital zooming, image magnification or enhancement, etc [1] [2]. Image interpolation algorithms can be grouped in two categ...

An experimental study of the application of scale-transform to improve the performance of speaker independent continuous speech recognition, is presented in this paper. Three major results are described. First, a comparison was made between the scale-transform based magnitude cepstrum coeÆcients (STCC) and mel-scale lter bank cepstrum coeÆcients (MFCC) on a telephone based connected digit recog...

We extend the model predictive control framework, which is very popular in the process industry due to its ability to handle constraints on inputs and outputs, to a class of discrete event systems that can be modeled using the operations maximization, minimization, addition and scalar multiplication, and that we call max-min-plus-scaling systems. We show that this class encompasses several othe...

We propose a global high-gain scaling based observer/controller for systems in the uncertain generalized output-feedback canonical form. Time-varying nonlinear parametric uncertainty is allowed to occur coupled with unmeasured states in the system dynamics. This represents a significant generalization from existing results which allow unknown parameters only in outputdependent terms. This restr...

Hermite spectral methods are investigated for linear diffusion equations and the viscous Burgers’ equation in unbounded domains. When the solution domain is unbounded, the diffusion operator no longer has a compact resolvent, which makes the Hermite spectral methods unstable. To overcome this difficulty, a time-dependent scaling factor is employed in the Hermite expansions, which yields a posit...

We consider the bilinear inverse problem of recovering two vectors, x and w, in R from their entrywise product. For the case where the vectors have known signs and belong to known subspaces, we introduce the convex program BranchHull, which is posed in the natural parameter space and does not require an approximate solution or initialization in order to be stated or solved. Under the structural...

In this paper, we initiate the study of global stability for anisotropic systems quasilinear wave equations. Equations kind arise naturally in crystal optics, and they exhibit birefringence. We introduce a physical space strategy based on bilinear energy estimates that allows us to prove decay nonlinear problem. This uses homogeneous equation as black box. The proof also requires interface with...

II. Recent Developments 97 A. Enhancing Cross-peak Intensity in COSY 97 1. SUPER Schemes . . . . 97 2. Scaling Experiments . . . . 101 B. Restricting Coherence Transfer in COSY 104 1. Bilinear COSY (61) . . . . 104 2. E. COSY . 106 C. Phase Purification of MQ-filtered COSY and Coherence transfer via longitudinal spin-order . 107 1. 45° Pulse-pair Filter 107 2. Generalized Pulse Pair Filtering 1...

This paper presents an advance on image interpolation based on ant colony algorithm (AACA) for high resolution image scaling. The difference between the proposed algorithm and the previously proposed optimization of bilinear interpolation based on ant colony algorithm (OBACA) is that AACA uses global weighting, whereas OBACA uses local weighting scheme. The strength of the proposed global weigh...