CCE is a multi-instance learning method solving multi-instance problems through Adapting multi-instance representation to single-instance algorithms, which is quite different from existing multi-instance learning algorithms which attempt to adapt single-instance algorithms to multi-instance representation
标签： multi-instance multi-insta Adapting learning
上传时间： 2014-01-14
上传用户：manlian
一篇源于ROMA地形算法的经典论文（英文）：ROAMing Terrain: Real-time Optimally Adapting Meshes
标签： Optimally Real-time Adapting ROAMing
上传时间： 2014-01-21
上传用户：璇珠官人
After the successful global introduction during the past decade of the second generation (2G) digital mobile communications systems, it seems that the third generation (3G) Universal Mobile Communication System (UMTS) has finally taken off, at least in some regions. The plethora of new services that are expected to be offered by this system requires the development of new paradigms in the way scarce radio resources should be managed. The Quality of Service (QoS) concept, which introduces in a natural way the service differentiation and the possibility of Adapting the resource consumption to the specific service requirements, will open the door for the provision of advanced wireless services to the mass market.
标签： the introduction successful generation
上传时间： 2013-12-30
上传用户：qq21508895
As I write this foreword, I am collaborating with four leading user interface (UI) component vendors on a presentation for the 2004 JavaOneSM conference. In our presentation, the vendors will show how they leverage JavaServerTM Faces technology in their products. While developing the presentation, I am learning some things about the work we’ve been doing on JavaServer Faces for the past three years. The vendors have their own set of concerns unique to Adapting their product for JavaServer Faces, but they all voice one opinion loud and clear: they are very relieved to finally have a standard for web-based user interfaces.
标签： collaborating component interface foreword
上传时间： 2014-08-27
上传用户：时代电子小智
