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Malicious program or malware is a computer program which was written intentionally to harm computing system. Malware protection involves several sub-tasks namely Monitoring, Prevention, Analysis, Detection, Removal and Recovery. This paper proposes a static heuristic based scoring system that gives a maliciousness score to portable executable files. Malicious score can be used at different stage of...
In this paper, a method for 3D medical image segmentation is presented. This method is used to detect brain tumor in MRI images by combining Clustering and Classification methods to decrease the complexity of time and memory. In the first phase, non-negative matrix factorization with sparseness constraint method is used to separate the region of interest from the image. In the second phase, the classification...
An improved classification method based on KMeans using HSV color feature is introduced in this paper. It is implemented by extracting three color features (hue, saturation, value) for K-Means clustering. Compared with the traditional K-Means clustering, the experimental results turn out that our proposed method is better than K-Means in classification accuracy and performance.
A novel image recognition method based on the improved BDBN (Bilinear Deep Belief Network) model is presented, optimized with a MKL (Multiple Kernel Learning) strategy. All kernel functions in MKL are replaced by hierarchical feature representations, and the number of kernels is set to the number of layers of BDBN. The method is performed on the standard Caltech101 image dataset. The experiments show...
This paper discusses the extraction of film structure features from action films to build an arousal curve. The arousal curve is used as training data for building a Hidden Markov Model for predicting the rating of a movie. Evaluation of the model resulted in a 70% accuracy, which shows that there is some form of correlation between the structure of a film and its perceived rating. Interesting similarities...
Sentence similarity compute is an important part in question answering system based on frequency asking questions. The accuracy of the existing sentence similarity algorithm needs to be improved, so this paper presents a revised question similarity compute method. We combine the word order feature with vector space model algorithm. When we use the VSM to compute the question similarity, we propose...
Playing a vital role, saliency has been widely applied for various image analysis tasks, such as content-aware image retargeting, image retrieval and object detection. It is generally accepted that saliency detection can benefit from the integration of multiple visual features. However, most of the existing literatures fuse multiple features at saliency map level without considering cross-feature...
A major challenge in physiology-based emotion recognition is to establish an effective emotion recognizer for multi-users in the user-independent scenario. The recognition result is not satisfied because it ignores the difference in individual response pattern, which can be attributed to IRS (Individual Response Specificity) and SRS(Stimuli Response Specificity) in psychophysiology. To improve the...
This paper presents a fast vehicle recognition and vehicle retrieval system based on “bag of words”. In this system, the input is an image of vehicle and the vehicle will be identified automatically, it can also retrieve images which are similar to the input image. 3742 vehicle images which include 28 types of vehicles are collected as the image database. Features of these images are extracted and...
It is known that a footstep is useful tool to estimate a human state. Various surveillance systems using footstep are proposed. In order to extract the effective feature of footstep, conventional technique require the time when the footstep is recorded. In this paper, the novel approach to detect the starting time of footstep is proposed.
Automatic detection of the human emotion is an important area in computer science and psychology to develop adaptive Human-Computer Interaction (HCI). In this paper, a novel approach is proposed to extract a user's pleasure during English comprehension. The approach is based on processing the mouse movement data during the interaction with the system and determining whether or not the user enjoys...
The existing GNSS (Global Navigation Satellite System) has the weakness in availability and continuity for the vehicles in urban area since the number of visible satellites decreases abruptly due to large buildings and other structures. In this paper, a new method is proposed to estimate the relative lateral distance of a vehicle from surrounding buildings by a vision sensor to supplement the shortage...
Nowadays consumers can obtain abundant information for products and service from online review resources, which can help them make decisions. Moreover, it motivates some manufactures to hire spammers writing fake reviews on some target products. How to detect spam review/reviewer is drawing more and more attention of e-commerce. In this paper, we construct a novel multi-edge graph model in which each...
Local Binary Pattern (LBP) is a simple yet powerful method for image feature extraction in pattern recognition and image processing. However, the LBP operator of each pixel mainly depends on its neighboring pixels and emphasizes on local information too much. From the practical viewpoint, the information is quite limited if we consider the LBP operator in isolation, especially for a large image. To...
This paper presents a new approach to user identity currently being explored within the SuperIdentity project and outlines the specific role that biometric measurements can contribute towards a modelling process. The SuperIdentity project aims to define a novel holistic model wherein the proven strengths of relationships between facets of identity are mapped. These facets are drawn from both real...
To solve the contradiction between massive network information and limited learning needs, personalized recommendation service becomes the hotspot in research area. User characteristics analysis is the key point in personalized recommendation service. Based on the massive web access log in the web server, this research gradually puts forward the steps of user characteristics analysis which including...
We present a modified feature point descriptor (M-BRIEF) based on Binary Robust Independent Elementary Features (BRIEF). BRIEF is much faster both to build and to match than SIFT and SURF, and it yields a better recognition as well. However, the matching results are not robust when the viewpoint changes obviously. In our paper, M-BRIEF automatically adjusts the coordinates of the image patch according...
This paper discusses the development of multi-document summarization for Indonesian documents by using hybrid abstractive-extractive summarization approach. Multi-document summarization is a technology that able to summarize multiple documents and present them in one summary. The method used in this research, hybrid abstractive-extractive summarization technique, is a summarization technique that...
Forest stands are important forest management units for many forestry applications. Airborne Laser Scanning (ALS), also known as Light Detection and Ranging (LiDAR), provides abundant information on vertical structures of forests, and it is more stable than the conventional aerial or satellite spectral imaging in various conditions. In order to obtain accurate Forest Stand Delineations (FSD), a method...
In this paper, we present a new approach to discriminate dynamic color textures in sequences of images containing moving objects. The moving textures are analyzed by use of Haralick features extracted from color spatio-temporal co-occurrence matrices which characterize the textures themselves as well as their movements. Features with the highest discriminating power are selected according to a supervised...
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