Wordsworth's Aeneid and the influence of its eighteenth-century predecessors

William Wordsworth's attempt at translating Virgil's Aeneid reached as far as Book 4, and mostly survives in manuscript drafts. The literary influences behind it can be illuminated through the poet's correspondence, and analysed more fully by tracing verbal echoes and other resonances in his translation. Despite the hostility he expressed towards Dryden and Pope, the foremost translators of the previous age, Wordsworth followed them in using heroic couplets, and, as has previously been argued, his translation draws increasingly on Dryden's Aeneis the further he advanced with his project. But Wordsworth owes an equally large debt, hitherto unrecognized, to the eighteenth-century blank verse renderings by Joseph Trapp and others, who anticipated many of his supposed stylistic innovations

The second edition of Cowper's Homer

This discussion looks in some depth at the heavily revised second edition, posthumously published in 1802, of Cowper's translation of Homer. For editors and critics it has never displaced the first edition of 1791, yet Cowper's revisions served to correct many of the flaws they diagnosed. It is argued that Cowper's increasing responsiveness to criticism by laymen and scholars alike was neither a symptom of his deteriorating mental state, as Robert Southey claimed, nor a mere expression of his desire to appease hostile reviewers, but rather an extension of the same collaborative modus operandi that helped him produce the translation in the first place. The lack of scholarly attention to the 1802 edition has, until now, prevented proper understanding of Cowper's achievement in translating the Homeric epics

Chromosome numbers of plant species from the Canary Islands

Abstract.: Baltisberger M. and Widmer A. 2006. Chromosome numbers of plant species from the Canary Islands. Bot. Helv. 116: 9-30. Chromosome numbers are reported for 66 taxa (101 populations) of flowering plants representing 22 families from the Canary Islands. The chromosome numbers of Kleinia aizoides (Asteraceae, 2n=20) and Polycarpaea nivea (Caryophyllaceae, 2n=18) are given for the first time. Chromosome numbers of another 17 taxa are recorded for the first time from Canarian material. Karyotypes are presented for nine species (six endemic), and phytogeographic and for part of the species systematic aspects are discussed. For Bidens aurea, we provide evidence suggesting that this species might consist of more than one taxo

Optimal Joint Routing and Scheduling in Millimeter-Wave Cellular Networks

Millimeter-wave (mmWave) communication is a promising technology to cope with the expected exponential increase in data traffic in 5G networks. mmWave networks typically require a very dense deployment of mmWave base stations (mmBS). To reduce cost and increase flexibility, wireless backhauling is needed to connect the mmBSs. The characteristics of mmWave communication, and specifically its high directional- ity, imply new requirements for efficient routing and scheduling paradigms. We propose an efficient scheduling method, so-called schedule-oriented optimization, based on matching theory that optimizes QoS metrics jointly with routing. It is capable of solving any scheduling problem that can be formulated as a linear program whose variables are link times and QoS metrics. As an example of the schedule-oriented optimization, we show the optimal solution of the maximum throughput fair scheduling (MTFS). Practically, the optimal scheduling can be obtained even for networks with over 200 mmBSs. To further increase the runtime performance, we propose an efficient edge-coloring based approximation algorithm with provable performance bound. It achieves over 80% of the optimal max-min throughput and runs 5 to 100 times faster than the optimal algorithm in practice. Finally, we extend the optimal and approximation algorithms for the cases of multi-RF-chain mmBSs and integrated backhaul and access networks.Comment: To appear in Proceedings of INFOCOM '1

End-to-End Cross-Modality Retrieval with CCA Projections and Pairwise Ranking Loss

Cross-modality retrieval encompasses retrieval tasks where the fetched items are of a different type than the search query, e.g., retrieving pictures relevant to a given text query. The state-of-the-art approach to cross-modality retrieval relies on learning a joint embedding space of the two modalities, where items from either modality are retrieved using nearest-neighbor search. In this work, we introduce a neural network layer based on Canonical Correlation Analysis (CCA) that learns better embedding spaces by analytically computing projections that maximize correlation. In contrast to previous approaches, the CCA Layer (CCAL) allows us to combine existing objectives for embedding space learning, such as pairwise ranking losses, with the optimal projections of CCA. We show the effectiveness of our approach for cross-modality retrieval on three different scenarios (text-to-image, audio-sheet-music and zero-shot retrieval), surpassing both Deep CCA and a multi-view network using freely learned projections optimized by a pairwise ranking loss, especially when little training data is available (the code for all three methods is released at: https://github.com/CPJKU/cca_layer).Comment: Preliminary version of a paper published in the International Journal of Multimedia Information Retrieva

Are alcohol gels better than liquid hand rubs?

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