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Anytime algorithm for time series classification requires the ordering heuristic of the instances in the training set. To establish the ordering, the algorithm must compute the distance between every pair of time series in the training set. And this step incurs a high computational cost, especially when Dynamic Time Warping distance is used. In this paper, we present an method to speed up the computation...
In this paper, we present data mining techniques (context-aware technique) into the search engine. As an option for search engine, this paper presents the integration of identifying and synthesizing Vietnamese languge into search engine to query and returns the result through voice interaction between users and Search Engine.
Invariant descriptor for shape and texture image recognition usage is an essential branch of pattern recognition. It is made up of techniques that aim at extracting information from shape images via human knowledge and works. The descriptors need to have strong Local Binary Pattern (LBP) in order to encode the information distinguishing them. Local Binary Pattern (LBP) ensures encoding global and...
Adaptive communication has gained attention of almost every recent communication system because of its rate enhancement and context aware features. In this concept, different transmission parameters like transmit power, forward error correcting (FEC) code rate and modulation scheme are adaptively chosen according to the channel state information. Consequently, that set of transmission parameters is...
A large number of filters has been proposed to compute local gradients in grayscale images, usually having as goal the adequate characterization of edges. A significant portion of such filters are antisymmetric with respect to the origin. In this work we propose to generalize those filters by incorporating an explicit evaluation of the tonal difference. More specifically, we propose to apply restricted...
This paper proposes a dictionary-based method for determining coordinated compound words in Vietnamese. The main idea to determine whether two contiguous simple words in a text forms a coordinated compound word is based on their properties, part-of-speeches and the similarity between their definitions in the dictionary of the Vietnamese Computational Lexicon (VCL). We also based on the sets of synonym...
In this paper, by combination of some approaches we propose a new approach of Differential Evolution (DE) algorithm, called DE with nonlinear simplex method and dynamic neighborhood search (DENNS). In our approach the nonlinear simplex method (NSM) is used for population initialization and local neighborhood search. Moreover, local and global neighborhood search operators are employed to generate...
In this paper, we present a novel method based on fuzzy geographically clustering to solve the Cold-Start problem in Recommender Systems occurring when a new user is migrated into the system. The proposed method can handle the issues of selected demographic attributes, the similarities between items and missing ratings that existed in relevant demographic-based algorithms. Numerical examples are given...
Ultrasound images are widely used for diagnosis of liver cirrhosis. In liver cirrhosis classification using M-mode ultrasound images, Zhou's method has been shown to be effective. However, in Zhou's approach, the liver cirrhosis classification performance depends on the accuracy of the abdominal aorta wall extraction. Therefore, we examine to classify the liver cirrhosis not using the abdominal aorta...
To take care of variability involved in the writing style of different individuals a novel approach has been proposed in this article to segment unconstrained handwritten Bangla words into characters. Online handwriting recognition refers to the problem of interpretation of handwriting input captured as a stream of pen positions using a digitizer or other pen position sensor. For online recognition...
Numerous image-processing technologies are essential in order to recognize an object. Object detection depends on the time-sequence of the video frames. Furthermore, manifold object tracking should be done in the line of the computer's vision. To simulate a babysitter's vision, our application was developed to track objects in a scene with the main goal of creating a reliable and operative moving...
Document categorization technology heavily relies on the categorical distribution of features. Those terms which occur unevenly in various categories have strong distinguishable information as to categorization. At first, we give the definition of CTFP (Categorical Term Frequency Probability), which will be used to accurately reflect the categorical characteristics of terms on each category. Then,...
Traveling Salesman Problem (TSP) is a well-known NP-hard problem. Many algorithms were developed to solve this problem and gave the nearly optimal solutions within reasonable time. This paper presents a survey about the combination Genetic Algorithm (GA) with Dynamic Programming (DP) for solving TSP. We also setup a combination between GA and DP for this problem and experimented on 7 Euclidean instances...
Interpolative reasoning is one of the most interested problems with various approaches for type-1 fuzzy sets, interval type-2 fuzzy sets, recently. However, the related methods have not mentioned general type-2 fuzzy sets yet because of their computational complexity. The paper deals with an approach to representation theorem of general type-2 fuzzy sets using the reduced grid. A computational schema...
This paper introduces an approach of using the genetic algorithm for orienting protein-protein interaction networks (PPIs) and discovering pathways. Biological pathways such as metabolic or signaling ones play an important role in understanding cell activities and evolution. A cost-effective method to discover such pathways is analyzing accumulated information about protein-protein interactions, which...
This paper introduces new bandwidth guaranteed routing algorithms using remaining path holding time. The idea is to combine residual bandwidths with future available band-widths which are calculated based on holding time of routing paths to select next routes. The proposed algorithms have low complexity because only link bandwidths are considered and no critical computation is needed. They are tested...
The well-known K-means algorithm has been successfully applied to many practical clustering problems, but it has some drawbacks such as local optimal convergence and sensitivity to initial points. Particle swarm optimization algorithm (PSO) is one of the swarm intelligent algorithms, it is applied in solving global optimization problems. An integration of enhanced PSO and K-means algorithm is becoming...
In this paper, we present a novel fall detection method using wearable sensors that are inexpensive and easy to deploy. A new, simple, yet effective feature extraction scheme is proposed, in which features are extracted from slices or quanta of sliding windows on the sensor's continuously acceleration data stream. Extracted features are used with a support vector machine model, which is trained to...
In this paper, a Simple Personal Identification (SPI) method using Dress Color Information (DCI) for guide robots is proposed. The DCI is a small number of color information that is only calculated at narrow areas around a user's (guided person's) joint positions obtained via KINECT on a mobile robot. The SPI method includes not only the person's skeletal information but also the DCI. This method...
Nowadays, with the appearance of the Internet and personal computers, Web becomes one of the most important vehicles to convey information. There are many new forms of information on the Web, including websites, blogs, wikis, social networks, and Internet forums. The explosion of user-generated content poses challenges to browsing and finding valuable information on the Web. In this paper, we present...
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