Abstract. We propose a new method for natural writing recognition that utilizes geometric features of letters. The paper deals with recognition of isolated handwritten characters using an artificial neural network. As a result of the geometrical analysis realized, graphical representations of recognized characters are obtained in the form of pattern descriptions of isolated characters. The radi...

FOR SPEECH ENHANCEMENT ALGORITHMS John H.L. Hansen and Bryan L. Pellom Robust Speech Processing Laboratory Duke University, Box 90291, Durham, NC 27708-0291 http://www.ee.duke.edu/Research/Speech [email protected] [email protected] ABSTRACT Much progress has been made in speech enhancement algorithm formulation in recent years. However, while researchers in the speech coding and recognition communi...

The Maximum Balanced Biclique Problem (MBBP) is a prominent model with numerous applications. Yet, the problem is NP-hard and thus computationally challenging. We propose novel ideas for designing effective exact algorithms for MBBP. Firstly, we introduce an Upper Bound Propagation procedure to pre-compute an upper bound involving each vertex. Then we extend an existing branch-and-bound algorit...

We investigate quantum backtracking algorithms of a type previously introduced by Montanaro (arXiv:1509.02374). These algorithms explore trees of unknown structure, and in certain cases exponentially outperform classical procedures (such as DPLL). Some of the previous work focused on obtaining a quantum advantage for trees in which a unique marked vertex is promised to exist. We remove this res...

The transfer of prerecorded, compressed variablebit-rate video requires multimedia services to support large fluctuations in bandwidth requirements on multiple time scales. Bandwidth smoothing techniques can reduce the burstiness of a VBR(Variab1e Bit Rate) stream by transmitting data at a series of f i e d rates, simplifgzng the allocation of resources in video servers and the communication ne...

As internet continues to expand its usage with an enormous number of applications, cyber-threats have significantly increased accordingly. Thus, accurate detection of malicious traffic in a timely manner is a critical concern in today’s Internet for security. One approach for intrusion detection is to use Machine Learning (ML) techniques. Several methods based on ML algorithms have been introdu...

IMPULSE RESPONSE FILTERING Emrah Acar Dept. of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh, PA 15213 [email protected] Orhan Ar kan Dept. of Electrical Engineering Bilkent University Ankara, Turkey 06533 [email protected] ABSTRACT To take advantage of fast converging multi{channel recursive least squares algorithms, we propose an adaptive IIR system structu...

Assessment of pavement distresses is one of the important parts of pavement management systems to adopt the most effective road maintenance strategy. In the last decade, extensive studies have been done to develop automated systems for pavement distress processing based on machine vision techniques. One of the most important structural components of computer vision is the feature extraction met...

Knowledge intensive organizations have vast array of information contained in large document repositories. With the advent of E-commerce and corporate intranets/extranets, these repositories are expected to grow at a fast pace. This explosive growth has led to huge, fragmented, and unstructured document collections. Although it has become easier to collect and store information in document coll...

For an automatic co-pilot designed to assist the driver while operating a vehicle on wellmarked or unmarked roads algorithms were developed for recognizing and tracking the driving lane used by the vehicle. A video camera is used as a sensor. Each algorithm has been implemented on one parallel processor of the multiprocessor robot vision system BVV 3. The method of controlled correlation is use...