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Authors in this paper use angle of arrival (AoA) information to localize a network of 100 nodes with one anchor only. The maximum communication range of a node in a wireless sensor network is known. Number of hops is dynamic, depending upon backward communication from node to be localized to the node already localized. The nodes within communication range from each other exploit noisy AoA information...
It is common to observe document skew and frame artifacts while photocopying and scanning documents. The motivation of this work is to embed skew correction and frame removal in the copy pipeline of a device to achieve `one touch' cleanup. The two challenges that this poses are the need for: (a) substantially reducing computation and memory requirements and (b) minimizing the false positives. Peripheral...
In this paper we present a novel scheme for unstructured audio scene classification that possesses three highly desirable and powerful features: autonomy, scalability, and robustness. Our scheme is based on our recently introduced machine learning algorithm called Simultaneous Temporal And Contextual Splitting (STACS) that discovers the appropriate number of states and efficiently learns accurate...
Document clustering is an important tool for applications such as search engines and document browsers. It enables the user to have a good overall view of the information contained in the documents. The well-known methods of document clustering, however, do not really address the special problems of text document clustering: very high dimensionality of the document, very large size of the datasets...
The ever-increasing gigantic amount of images over the Web necessitates automatic schemes for meta-tagging content descriptions such as object categories. These meta-tags are essential to text-based image search engines to improve their search relevance. Traditional supervised scheme is not suitable for this task because it needs too much manual labelling efforts and yet is hard to scale to a large...
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