Showing 25–32 of 32 results
On Learning of Choice Models with Interactive Attributes Abstract?Introducing recent advances in the machine learning techniques to state-of-the-art discrete choice models, we develop an approach to infer the unique and complex decision making process of a decision-maker (DM), which is characterized by the DM?s priorities and attitudinal character, along with the attributes interaction, to name…
Quaternion-Michelson Descriptor for Color Image Classification Abstract? A simple yet powerful framework called quaternion-Michelson descriptor (QMD) to extract local features for color image classification. Unlike traditional local descriptors extracted directly from the original (raw) image space, QMD is derived from the Michelson contrast law and the quaternionic representation (QR) of color images. The Michelson contrast…
Segmenting Retinal Blood Vessels with Deep Neural Networks Abstract?The condition of the vascular network of human eye is an important diagnostic factor in ophthalmology. Its segmentation in fundus imaging is a nontrivial task due to variable size of vessels, relatively low contrast, and potential presence of pathologies like microaneurysms and hemorrhages.< final year projects >…
STAMP : Enabling Privacy-Preserving Location Proofs for Mobile Users Abstract?Location-based services are quickly becoming im-mensely popular. In addition to services based on users’ current location,many potential services rely on users’location history,or their spatial-temporal provenance . < final year projects > [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides Flow…
Three-Phase LLC Series Resonant DC/DC Converter Using SiC MOSFETs to Realize High-Voltage and High-Frequency Operation Abstract?SiC MOSFETs are applied to constitute a three-phase, 5-kW LLC series resonant dc/dc converter with isolation transformers. A switching frequency of around 200 kHz for the transistors successfully reduces the volume of these isolation transformers, whereas insulatedgate bipolar transistors (IGBTs)…
Toward Optimal Feature Selection in Naive Bayes for Text Categorization Abstract?Automated feature selection is important for text categorization to reduce the feature size and to speed up the learning process of classifiers. In this paper, we present a novel and efficient feature selection framework based on the Information Theory, which aims to rank the features…
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammo graphic Risk Scoring Abstract?Mammo graphic risk scoring has commonly been automated by extracting a set of handcrafted features from mammograms, and relating the responses directly or indirectly to breast cancer risk. We present a method that learns a feature hierarchy from unlabeled data. < final...
Unsupervised SAR Image Change Detection Based on SIFT Key points and Region Information Abstract?This letter presents a new unsupervised distribution-free change detection method for synthetic aperture radar (SAR) images based on scale-invariant feature transform (SIFT) keypoints and region information. Since the SIFT can detect blob-like structures in an image and be insensitive to noise, we…
End of content
End of content
Don't have an account yet? Sign up
No items in your cart. Go on, fill it up with something you love!
Start Shopping Now
