Let A = {a1, a2, . . . , as} and {b1, b2, . . . , bt} with s+r = n, the many to many point matching with demands and capacities matches each point ai ∈ A to at least αi and at most α ′ i points in B, and each point bj ∈ B to at least βj and at most β ′j points in A for all 1 ≤ i ≤ s and 1 ≤ j ≤ t. In this paper, we present an O(n) time and O(n) space algorithm for this problem.

To navigate many-to-many mappings between referents and linguistic expressions, listeners need to calibrate likelihood estimates for different referential expressions taking into account both the context and speaker-specific variation. Focusing on speaker variation, we present three experiments. Experiment 1 establishes that listeners generalize speakerspecific patterns of pre-nominal modificat...

This article discusses the role of driving teachers in independent learning Kubu Raya Regency. was developed through literature studies, use books and journals as well other related documents. aims to provide an overview managing fun using existing technology so that students are encouraged improve their academic achievements. The results this study indicate able be according aspects Pancasila ...

One of the bottlenecks of current recognition (and graph matching) systems is their assumption of one-to-one feature (node) correspondence. This assumption breaks down in the generic object recognition task where, for example, a collection of features at one scale (in one image) may correspond to a single feature at a coarser scale (in the second image). Generic object recognition therefore req...

Semantic matching is a fundamental step in implementing data sharing applications. Most systems automating this task however limit themselves to finding simple (one-to-one) matching. In fact, complex (many-to-many) matching raises a far more difficult problem as the search space of concept combinations is often very large. This article presents Indigo, a system discovering complex matching in t...

In this paper, we address the problem of planning the textual organization of instructions. We take the view that natural language generation (NLG) is a mapping process of diierent levels of conceptual and textual representations. Within this framework , we consider the mapping between the text's semantic representation and its rhetorical structure. We argue that such a mapping is not direct, b...