recommender systems utilize information retrieval and machine learning techniques for filtering information and can predict whether a user would like an unseen item. user similarity measurement plays an important role in collaborative filtering based recommender systems. in order to improve accuracy of traditional user based collaborative filtering techniques under new user cold-start problem a...

Visualizing very large matrices involves many formidable problems. Various popular solutions to these problems involve sampling, clustering, projection, or feature selection reduce the size and complexity of original task. An important aspect methods is how preserve relative distances between points in higher-dimensional space after reducing rows columns fit a lower dimensional space. This beca...

We address the problem of sketching the hamming distance of data streams. We present a new notion of sketching technique, Fixable sketches and we show that using such sketch not only we reduce the sketch size, but also restore the differences between the streams. Our contribution: For two streams with hamming distance bounded by k we show a sketch of size O(k logn) with O(logn) processing time ...

design process consists of multiple coherent stages in which a lot of factors involve and their impact on each other is inseparable. design is a process of transfer, translates, and interact the concepts and internal ideas of designer through sketches. visual reasoning is the main factor in connecting designer's knowledge and experiences through sketch and continues till achieving a satisf...

Sketches are compact bit string representations of objects. Objects that have the same sketch are stored in the same database bucket. By calculating the hamming distance of the sketches, an estimation of the similarity of their respective objects can be obtained. Objects that are close to each other are expected to have sketches with small hamming distance values. This estimation helps to sched...

This paper addresses the problem in mug shot searching in suspect database. The objective is to improve the eficiency of the suspect identification process. The input is a sketch constructed by a witness. The output is the mug shot ranking for the suspect database. In the system, local and global feature measurements between sketch and mug shot faces are adopted. The local distance measurement ...

Recommender systems utilize information retrieval and machine learning techniques for filtering information and can predict whether a user would like an unseen item. User similarity measurement plays an important role in collaborative filtering based recommender systems. In order to improve accuracy of traditional user based collaborative filtering techniques under new user cold-start problem a...

In this paper, we consider the problem of estimating the distance between any two large data streams in smallspace constraint. This problem is of utmost importance in data intensive monitoring applications where input streams are generated rapidly. These streams need to be processed on the fly and accurately to quickly determine any deviance from nominal behavior. We present a new metric, the S...

In this paper, we consider the problem of estimating the distance between any two large data streams in smallspace constraint. This problem is of utmost importance in data intensive monitoring applications where input streams are generated rapidly. These streams need to be processed on the fly and accurately to quickly determine any deviance from nominal behavior. We present a new metric, the S...