This paper describes the growth and transplantation of an androgen/estrogen-induced, hormone-responsive uterine leiomyosarcoma of the Syrian hamster and of several autonomous variants derived from it. The tumor progresses toward autonomy rapidly. In serial transplan tation, short periods (100 to 200 days) of androgen/estrogen treatment favor retention of a typical leiomyosar coma architectural ...

In this paper, a joint multi-context and multiscale (JMCMS) approach to Bayesian image segmen-tation is proposed. In addition to the multiscale framework, the JMCMS applies multiple context models to jointly use their distinct advantages, and we use a heuristic multi-stage problem solving technique to estimate sequential maximum a posteriori of the JMCMS. The segmentation results on both synthe...

As an alternative to the two classical proofs for complemen-tation of B uchi automata, due to B uchi himself and to McNaughton, we outline a third approach, based on stratiied alternating automata with a \weak" acceptance condition. Building on work by Muller, Saoudi, Schupp (1986) and Kupferman and Vardi (1997), we present a streamlined version of this complementation proof. An essential point...

In this paper we present a method for combining multiple di­ arization systems into one single system by applying a majority voting scheme. The voting scheme selects the best segmen­ tation purely on basis of the output of each system. On our development set of NIST Rich Transcription evaluation meet­ ings the voting method improves our system on all evaluation conditions. For the single distan...

This paper describes a domain-independent implemen­ tation of explanation-based generalization (EBG) within a logic-programming environment. Explanation is inter­ leaved with generalization, so that as the training instance is proven to be a positive example of the goal concept, the generalization is simultaneously created. All aspects of the EBG task are viewed in logic, which provides a clear...

In this paper we present a new algorithm for segmen-tation of noisy or textured images using a multires-olution Bayesian approach. Our algorithm is diierent from previously proposed multiresolution segmentation techniques in that we use a multiresolution Gaussian autoregressive (AR) model for the pyramid representation of the observed image. Our algorithm also approximates the \maximization of ...

This paper reviews model based methods for non rigid shape analysis and recognition These methods model match and classify non rigid shapes which are generally problematic for conventional algorithms using rigid models Issues including deformable model represen tation optimization criteria formulation model matching and classi cation are examined in detail The emphasis of this paper is on D def...

The goal of the paper is to present the results of studies concerning the development of a method of implementation of business processes in Smart Cities systems. The method has been developed during studies carried out within the building of a Smart Cities system for Gdańsk, and is based on basic develop‐ ment project management mechanisms (drawing from best practices, and in particular from t...

Pemanfaatan perikanan secara lestari sangat diperlukan agar sumberdaya yang ada saat ini bisa terus dimanfaatkan dan juga dalam rangka pemulihan stok telah rusak. Ikan nila (Oreochromis niloticus) ikan mujair mossambicus) luas dikenal sebagai salah satu spesies air tawar penting budidaya. Penelitian dilakukan dengan tujuan identifikasi Oreochromis spp. dari perairan daratan Merauke menggunakan ...

AI planning algorithms have addressed the problem of generating sequences of oper­ ators that achieve some input goal, usu­ ally assuming that the planning agent has perfect control over and information about the world. Relaxing these assumptions re­ quires an extension to the action represen­ tation that allows reasoning both about the changes an action makes and the information it provides. T...