A computationally efficient landmark-dependent hierarchical beta process is developed as a prior for data with associated covariates. The landmarks define local regions in the covariate space where feature usages are likely to be similar. The landmark locations are learned, to which the data are linked through normalized kernels. The proposed model is well suited for local latent feature discov...

BC2001 is the largest muscle invasive bladder cancer (MIBC) radiotherapy trial undertaken to date and showed that addition of chemotherapy to radiotherapy achieves local control of invasive disease in over 80% of patients. Secondary time to event outcomes included non-invasive loco-regional recurrence, metastasis free survival or overall survival: all modelled separately. However, patients can ...

In this paper we present a fully automatic and accurate segmentation framework for 2D tagged cardiac MR images. This scheme consists of three learning methods: a) an active shape model is implemented to model the heart shape variations, b) an Adaboost learning method is applied to learn confidence-rated boundary criterions from the local appearance features at each landmark point on the shape m...

A stratigraphically oriented series of the Miocene foraminiferal species Brizalina mandoroveensis from Ikang, Cameroon, was analyzed both by conventional multivariate morphometric procedures and by the tensor biometric method of Bookstein (1986; Statist. Sci. 1,181-142), a method which analyzes sets of landmark points rather than specific variables of shape or size. The conventional analysis us...

We use tools from geometric statistics to analyze the usual estimation procedure of a template shape. This applies to shapes from landmarks, curves, surfaces, images etc. We demonstrate the asymptotic bias of the template shape estimation using the stratified geometry of the shape space. We give a Taylor expansion of the bias with respect to a parameter σ describing the measurement error on the...

Recently, 3D landmark extraction has been widely researched and experimented in medical field, for both corrective and aesthetic purposes. Automation of these procedures on three-dimensional face renderings is something desirable for the specialists who work in this field. In this work we propose a new method for accurate landmark localization on facial scans. The method relies on geometrical d...

Inter-population variation of cranial morphology, which plays an important role in human evolution studies and biological research, can be studied morphologically and metrically. Geometric morphometry compares body forms using specific landmarks determined by anatomical prominences. The aim of this study was to identify cranial shape differences between the crania of Byzantium period humans and...

The Early Vocalization System (EVA) applies the Stevens landmark theory to infant vocalizations (babbles). The landmarks are grouped to identify syllable-like productions in these vocalizations. The visiBabble system processes vocalizations in real-time. It responds to the infant's syllable-like productions with brightly colored animations and records the landmark analysis. The system reinforce...