The catchableness of a fly ball depends on whether the catcher can get to the ball in time; accurate judgments of catchableness must reflect both spatial and temporal aspects. Two experiments examined the perception of catchableness under conditions of restricted information pickup. Experiment 1 compared perceptual judgments with actual catching and revealed that stationary observers are poor p...

Recommender systems in location-based social networks (LBSNs), such as Facebook Places and Foursquare, have focused on recommending friends or locations to registered users by combining information derived from explicit (i.e. friendship network) and implicit (i.e. useritem rating network, user-location network, etc.) sub-networks. However, previous’s work models were static, failing to capture ...

the aim of this research work was to investigate on the ball filling estimation of miduk semi-autogenous (sag) mill via an utilized method. miduk copper concentrator is located in kerman province, iran, and its size reduction stage includes one gyratory crusher which feeds one sag mill (9.75 dia.(m)*3.88 length(m)) following two parallel ball mills (5dia.(m)*7lenght(m)). after sag mill, a tromm...

We consider the problem of multi-label, supervised image segmentation when an initial labeling of some pixels is given. In this paper, we propose a new generative image segmentation algorithm for reliable multi-label segmentations in natural images. In contrast to most existing algorithms which focus on the inter-label discrimination, we address the problem of finding the generative model for e...

In this paper, we propose an efficient method for finding consistent correspondences between two sets of features. Our matching algorithm augments the discriminative power of each correspondence with the spatial consistency directly estimated from a graph that captures the interactions of all correspondences by using Random Walks with Restart (RWR), one of the well-established graph mining tech...

Given a real-world graph, how can we measure relevance scores for ranking and link prediction? Random walk with restart (RWR) provides an excellent measure for this and has been applied to various applications such as friend recommendation, community detection, anomaly detection, etc. However, RWR suffers from two problems: 1) using the same restart probability for all the nodes limits the expr...

Graphs are fundamental data structures and have been em-ployed for centuries to model real-world systems and phe-nomena. Random walk with restart (RWR) provides a goodproximity score between two nodes in a graph, and it hasbeen successfully used in many applications such as auto-matic image captioning, recommender systems, and link pre-diction. The goal of this work is t...

A recommendation system is an information retrieval system that employs user, product, and other related information to infer relationships among data to offer product recommendations. The basic assumption is that friends or users with similar behavior will have similar interests. The large number of products available today makes it impossible for any user to explore all of them and increases ...