We propose a novel Linear Program (LP) based formulation for solving jigsaw puzzles. We formulate jigsaw solving as a set of successive global convex relaxations of the standard NP-hard formulation, that can describe both jigsaws with pieces of unknown position and puzzles of unknown position and orientation. The main contribution and strength of our approach comes from the LP assembly strategy...

Two key ideas stand out as crucial to understanding atmosphere-ocean dynamics, and the dynamics of other planets including the gas giants. The first key idea is the invertibility principle for potential vorticity (PV). Without it, one can hardly give a coherent account of even so important and elementary a process as Rossby-wave propagation, going beyond the simplest textbook cases. Still less ...

This study aimed at investigating the effect of visual (Cuisenaire Rods) and auditory nonsensical monosyllables using Pratt speech processing software as teaching techniques on retention of word stress. To this end, 60 high school participants made the two experimental groups of the study each having 30 students on the basis of their proficiency scores on KET (Key English Test). In one experime...

Word classification is of significant interest in the domain of natural language processing and it has direct applications in information retrieval and knowledge discovery. This paper presents an experimental method using Naïve Bayes for word classification. The method is based on combing successful feature selection techniques on Mutual Information and Chi-Square with Naïve Bayes for word clas...

We present a new technique to produce composite images called Puzzle Image Mosaic (PIM). The method is inspired by Jigsaw Image Mosaic (JIM), where image tiles of arbitrary shape are used to compose the final picture. The JIM approach leads to impressive results, but the required computation time is high. We propose an algorithm that produces good results in lower time. The technique takes adva...

This paper provides an introduction to JIGSAW, an algorithm for self-organising spatial mapping, capable of mapping unknown sensory systems to unknown motor systems. For computer scientists, scalability comparisons with Self Organising Kohonen Maps and MultiDimensional Scaling are provided. For Neuro-scientists, a model of the organisational processes resulting in retinotopicity and sensory and...

We introduce a method for learning to align sentences in monolingual parallel articles for text simplification. In our approach, word keyness is integrated to prefer aligning essential words in sentences. The method involves estimating word keyness based on TF*IDF and semantic PageRank, and word nodes’ parts-of-speech and degrees of reference. At run-time, the keyword analyses are used as word ...

-A new word-length optimization method based on Monte Carlo simulation is proposed. The wordlength of the check node extrinsic message is also further optimized in this paper. In the proposed optimization method, and in the process of optimizing the word-length of the channel data, the statistical distribution results of variable node’s posterior probability data and check node’s extrinsic mess...