Reconstructing Random Jigsaws
نویسنده
چکیده
A colouring of the edges of an n×n grid is said to be reconstructible if the colouring is uniquely determined by the multiset of its n tiles, where the tile corresponding to a vertex of the grid specifies the colours of the edges incident to that vertex in some fixed order. In 2015, Mossel and Ross asked the following question: if the edges of an n× n grid are coloured independently and uniformly at random using q = q(n) different colours, then is the resulting colouring reconstructible with high probability? From below, Mossel and Ross showed that such a colouring is not reconstructible when q = o(n) and from above, Bordenave, Feige and Mossel and Nenadov, Pfister and Steger independently showed, for any fixed ε > 0, that such a colouring is reconstructible when q ≥ n. Here, we improve on these results and prove the following: there exist absolute constants C, c > 0 such that, as n→∞, the probability that a random colouring as above is reconstructible tends to 1 if q ≥ Cn and to 0 if q ≤ cn.
منابع مشابه
Learning Convolutional Action Primitives from Multimodal Timeseries Data*
Fine-grained action recognition is important for many applications such as human-robot interaction, automated skill assessment, and surveillance. The goal is to predict what action is occurring at any point in a timeseries sequence. While recent work has improved recognition performance in robotics applications, these methods often require hand-crafted features or large use of domain knowledge....
متن کاملEnd-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding
Fine-grained action segmentation and recognition is an important yet challenging task. Given a long, untrimmed sequence of kinematic data, the task is to classify the action at each time frame and segment the time series into the correct sequence of actions. In this paper, we propose a novel framework that combines a temporal Conditional Random Field (CRF) model with a powerful frame-level repr...
متن کاملReconstructing, Investigating the Reliability and Validity and Scoring the Stanford Diagnostic Reading Test
Objectives: The aim of the present study was to reconstruct determining validity, and score The Stanford Diagnostic Reading Test fourth edition (SDRT4) in the sixth grade students. Methods: The population of the study was all sixth grades of the 19 educational districts from Tehran, 571 students (255 boys and 316 girls) were selected by using a random multi-cluster sampling. The data were an...
متن کاملThe Complexity of Distinguishing Markov Random Fields
Markov random fields are often used to model high dimensional distributions in a number of applied areas. A number of recent papers have studied the problem of reconstructing a dependency graph of bounded degree from independent samples from the Markov random field. These results require observing samples of the distribution at all nodes of the graph. It was heuristically recognized that the pr...
متن کاملSegmental Spatiotemporal CNNs for Fine-Grained Action Segmentation
Generalizes our temporal convolutions Unifies our unary and temporal models New results on GTEA, 50 Salads, & JIGSAWS 1) Improved Dense Trajectories (IDT) + Bag of Words do not work well on FGAR 2) Spatial & Spatiotemporal CNNs have been proposed, but IDT (or CNN+IDT) is typically superior [Sun ICCV15, Heilbron CVPR15, Simonyan ICLR15, Jain CVPR15, Tran ICCV15, Karpathy CVPR14, ...] 3) Current ...
متن کامل