We present and evaluate Deep Private-Feature Extractor (DPFE), a deep model which is trained and evaluated based on information theoretic constraints. Using the selective exchange of information between a user’s device and a service provider, DPFE enables the user to prevent certain sensitive information from being shared with a service provider, while allowing them to extract approved informat...

Dendritic cells (DCs) vaccination is a promising way to contend cancer metastases especially in the case of immunogenic tumors. Unfortunately, it is only rarely possible to achieve a satisfactory clinical outcome in the majority of patients treated with a particular DC vaccine. Apparently, DC vaccination can be successful with certain combinations of features of the tumor and patients immune sy...

Of all tasks in photogrammetry the extraction of cartographic features is the most time consuming. Since the introduction of digital photogrammetry much attention therefore has been paid to the development of tools for a more efficient acquisition of cartographic features. Fully automatic acquisition of features like roads and buildings, however, appears to be very difficult and may even be imp...

This study examined the process by which the shape of a haptically explored object is synthesized from the geometric characteristics of simpler constituent elements, such as arcs and ellipses. Subjects traced the outlines of virtual objects by means of whole arm movements. Each object consisted of the union of a large central ellipse and two smaller circles, extending upward and outward from th...

Microscopic Feature Extraction Method Muhammad Sharif Department of Computer Sciences, COMSATS Institute of Information Technology, Wah Cantt, 47040, Pakistan Email: [email protected] Mudassar Raza Department of Computer Sciences, COMSATS Institute of Information Technology, Wah Cantt, 47040, Pakistan Email: [email protected] Sajjad Mohsin Department of Computer Sciences, COMS...

Breast cancer is the second leading cause of cancer deaths in women today. Early detection of the cancer can reduce mortality rate. Studies have shown that radiologists can miss the detection of a significant proportion of abnormalities in addition to having high rates of false positives. Pattern recognition in image processing requires the extraction of features from regions of the image and t...

A procedure is developed for obtaining the lower dimensional representation of highdimensional observations stemming from different classes that best distinguishes among the classes. The method finds a low dimensional subspace such that the estimated probability of the projected data belonging to each population is as close to the true assignment as possible. This is achieved by starting from a...

Mel Frequency Ceptral Coefficient is a very common and efficient technique for signal processing. This paper presents a new purpose of working with MFCC by using it for Hand gesture recognition. The objective of using MFCC for hand gesture recognition is to explore the utility of the MFCC for image processing. Till now it has been used in speech recognition, for speaker identification. The pres...

Distantly supervised relation extraction, which can automatically generate training data by aligning facts in the existing knowledge bases to text, has gained much attention. Previous work used conjunction features with coarse entity types consisting of only four types to train their models. Entity types are important indicators for a specific relation, for example, if the types of two entities...

Feature extraction is one of the most important and effective method to reduce dimension in data mining, with emerging of high dimensional data such as microarray gene expression data. Feature extraction for gene selection, mainly serves two purposes. One is to identify certain disease-related genes. The other is to find a compact set of discriminative genes to build a pattern classifier with r...