Search reranking is regarded as a common way to boost retrieval precision. The problem nevertheless is not trivial especially when there are multiple features or modalities to be considered for search, which often happens in image and video retrieval. This paper proposes a new reranking algorithm , named circular reranking, that reinforces the mutual exchange of information across […]
Implementing Effective Controls in a Mobile, Agile, Cloud-Enabled Enterprise
security teams that call for security to be “everyone’s responsibility” and “built in, not bolted on” are struggling to protect their businesses in the face of consumerization, mobility, cloud, and agile business environments. This article offers tangible techniques to turn these clichés into reality while considering the cultural and trust barriers that hinder the implementation […]
Content Delivery Networks In Load Balancing For A Distributed Control Law
we face the challenging issue of defining and implementing an effective law for load balancing in Content Delivery Networks (CDNs). We base our proposal on a formal study of a CDN system, carried out through the exploitation of a fluid flow model characterization of the network of servers. Starting from such characterization, we derive and […]
Multiattribute Resource Allocation Of Dynamic Optimization In Self-Organizing Clouds
By leveraging virtual machine (VM) technology which provides performance and fault isolation, cloud resources can be provisioned on demand in a fine grained, multiplexed manner rather than in monolithic pieces. By integrating volunteer computing into cloud architectures, we envision a gigantic self-organizing cloud (SOC) being formed to reap the huge potential of untapped commodity computing […]
Presence of Taxonomies In The Discovering Temporal Change Patterns
The steadfast evolution of markets and business environments prompts the need of data mining algorithms to discover significant correlation changes in order to reactively suit product and service provision to customer needs. Change mining, in the context of frequent itemsets, focuses on detecting and reporting significant changes in the set of mined itemsets from one […]
Social Network Data Anonymization In Protecting Sensitive Labels
Privacy is one of the major concerns when publishing or sharing social network data for social science research and business analysis. Recently, researchers have developed privacy models similar to k-anonymity to prevent node reidentification through structure information. However, even when these privacy models are enforced, an attacker may still be able to infer one’s private […]
- « Previous Page
- 1
- …
- 13
- 14
- 15