In this paper, we describe an accurate and effective event detection method to detect events from Twitter stream. It detects events using visual information as well as textual information to improve the performance of the mining. It monitors Twitter stream to pick up tweets having texts and photos and stores them into database. Then it applies mining algorithm to detect the event. Firstly, it d...

In order to study the application of artificial intelligence (AI) to dental imaging, we applied AI technology to classify a set of panoramic radiographs using (a) a convolutional neural network (CNN) which is a form of an artificial neural network (ANN), (b) representative image cognition algorithms that implement scale-invariant feature transform (SIFT), and (c) histogram of oriented gradients...

OF THE DISSERTATION Unified Deterministic/Statistical Deformable Models for Cardiac Image Analysis by Sharath Kumar Gopal Doctor of Philosophy in Computer Science University of California, Los Angeles, 2016 Professor Demetri Terzopoulos, Chair This thesis proposes to fully automate the shape and motion reconstruction of non-rigid objects from visual information using a unified deterministic/sta...

Breast cancer is one serious disease that is causing a high rate of mortality worldwide. Thus, it is critical to devise applications that can help in the early detection and diagnosis of this type of cancer as it spreads rapidly to the rest of the body. At present, mammography is the technique used to detect abnormalities in masses and calcifications in the breast. However, in the early stage, ...

Aksara Sasak adalah warisan budaya Lombok yang sangat penting untuk dilestarikan agar tidak punah diterpa perkembangan zaman. Paper ini mengusulkan perancangan model klasifikasi tulisan tangan karakter aksara menggunakan metode Histogram of Oriented Gradient (HOG) dan Multinomial Logistic Regression (MLR). Metode HOG digunakan melakukan ekstraksi fitur pada citra Sasak. dapat mendeskripsikan be...

In this paper, a new approach is proposed to extract features from the dorsal hand vein pattern. The modified Weber Local Binary Pattern (WLBP) is feature descriptor extracted, which effectively combines the advantages of WLD and LBP. WLBP feature vector consists of two components: Differential Excitation and LBP. The Differential excitation component derived based on Weber's law, which extract...