This paper casts the problem of 2D point-set alignment and correspondence matching into a unified framework. Our aim in providing this unification is to constrain the recovery of pose parameters using relational constraints provided by the structural arrangement of the points. This structural information is provided by a neighbourhood graph for the points. We characterise the problem using dist...

RDCs for the 14 kDa protein hen egg-white lysozyme (HEWL) have been measured in eight different alignment media. The elongated shape and strongly positively charged surface of HEWL appear to limit the protein to four main alignment orientations. Furthermore, low levels of alignment and the protein's interaction with some alignment media increases the experimental error. Together with heterogene...

In many languages, the stress pattern of a complex word resembles the stress of its morphological base or another related word. I refer to this phenomenon as accentual faithfulness (cf. Alderete 1999). A classic example comes from the English word orìginálity, which resembles the accentual profile of its immediate subconstituent oríginal (cf. monomorphemic words like Mèditerránean). This paper ...

Multiple Sequence Alignment and Motif Discovery, known as NP-hard problems, are two fundamental tasks in Bioinformatics. Existing approaches to these two problems are based on either local search methods such as Expectation Maximization (EM), Gibbs Sampling or greedy heuristic methods. In this work, we develop a convex relaxation approach to both problems based on the recent concept of atomic n...

This paper introduces a versatile language for specifying facial animations. The language Mimic can be used together with any facial animation system that employs animation parameters varying over time to control the animation. In addition to the automatic alignment of individual actions, the user can fine-tune the temporal alignment of actions relatively to each other. A set of predefined func...

Previously, an estimation method based on the Stochastic Expectation-Maximization algorithm was studied and proved its relevance for estimating the parameters of a marked point process model in order to achieve unsupervised feature extraction from remote sensing images. This method was only applied to a simple model of a marked point process of circles. In this paper, we extend the proposed est...

This study investigates the influence of both phonotactic and acoustic cues on the segmentation of spoken English. Listeners detected embedded English words in nonsense sequences (word spotting). Words aligned with phonotactic boundaries were easier to detect than words without such alignment. Acoustic cues to boundaries could also have signaled word boundaries, especially when word onsets lack...

This paper explores a series of relationships between top managers, strategic direction and financial performance. Building on previous studies, it was hypothesised that: (a) firms pursuing different strategies would be led by managers with different profiles; and, (b) firms which aligned the profiles of their top managers with the requirements of their strategies would outperform those that di...

The purpose of this paper is to examine the role of alignment in the verbal system of Modern Hebrew (MH). Certain phenomena within the verbal system of MH involve interaction between morphological and phonological processes. I will show that two seemingly unrelated phenomena, namely the shape of the outputs of verb formation processes on the one hand, and stress alternations on the other hand, ...

Process mining techniques aim at extracting non-trivial knowledge from event traces, which record the concrete execution of business processes. Typically, traces are “dirty” and contain spurious events or miss relevant events. Trace alignment is the problem of cleaning such traces against a process specification. There has recently been a growing use of declarative process models, e.g., DECLARE...