«multi»
۴۷۴٬۹۶۱ نتیجهMultiple Kernel and Multi-label Learning for Image Categorization
MULTIPLE KERNEL AND MULTI-LABEL LEARNING FOR IMAGE CATEGORIZATION By Serhat Selçuk Bucak One crucial step in recovering useful information from large image collections is image categorization. The goal of image categorization is to find the relevant labels for a given image from
Privacy-Preserving Recognition of Activities in Daily Living from Multi-view Silhouettes and RFID-based Training
There is an increasing need for the development of supportive technology for elderly people living independently in their own homes, as the percentage of elderly people grows. A crucial issue is resolving conflicting goals of providing a technology-assisted safer environment and
Co-Optimizating Multi-Agent Placement with Task Assignment and Scheduling
To enable large-scale multi-agent coordination under temporal and spatial constraints, we formulate it as a multi-level optimization problem and develop a multi-abstraction search approach for cooptimizing agent placement with task assignment and scheduling. This approach begins
Stability of an Additive-Cubic-Quartic Functional Equation in Multi-Banach Spaces
and Applied Analysis 3 for some natural number n0. Moreover, if the second alternative holds, then i the sequence {Jnx} is convergent to a fixed point y∗ of J ; ii y∗ is the unique fixed point of J in the set Y : {y ∈ X | d J0x, y 0, there exists n0 ∈ N such that sup k∈N ‖ xn, .
Multi-User Video Streaming Using Unequal Error Protection Network Coding in Wireless Networks
In this article, we investigate a multi-user video streaming system applying unequal error protection (UEP) network coding (NC) for simultaneous real-time exchange of scalable video streams among multiple users. We focus on a simple wireless scenario where users exchange encoded
Management and Analysis of Multi Class Traffic in Single and Multi-band Systems
A recent trend in Internet usage has seen large amounts of multimedia data due to increasingly large numbers of mobile users. To facilitate higher bandwidth, modern mobile routers are capable of supporting simultaneous multi-band, leading to less interference, higher capacity and
Deep Extreme Multi-label Learning
Extreme multi-label learning (XML) or classification has been a practical and important problem since the boom of big data. The main challenge lies in the exponential label space which involves 2 possible label sets when the label dimension L is very large, e.g., in millions for
Multi-User Virtual Reality Technology as a Laboratory for Learning about Social Research: Issues and Prospects
This paper describes a project to use multi-user virtual reality (VR) in teaching about social research. It begins by pointing to some of the problems in current research methods teaching and to some of the more general problems encountered in field research. Next it describes ho
Efficient Large-Scale Multi-Modal Classification
While the incipient internet was largely text-based, the modern digital world is becoming increasingly multi-modal. Here, we examine multi-modal classification where one modality is discrete, e.g. text, and the other is continuous, e.g. visual representations transferred from a c
A theoretical analysis of Bayes-optimal multi-target tracking and labelling
In multi-target tracking (MTT), we are often interested not only in finding the position of the multiple objects, but also allowing individual objects to be uniquely identified with the passage of time, by placing a label on each track. While there are many MTT algorithms that pr